Serious Gaze (Invited Paper)

Total Page:16

File Type:pdf, Size:1020Kb

Serious Gaze (Invited Paper) Serious Gaze (Invited Paper) Andrew T. Duchowski School of Computing, Clemson University Clemson, SC 29634 Email: [email protected] Abstract—In this paper I review gaze-based inter- gaze-based interaction action, distinguishing eye movement analysis from synthesis in virtual reality and games for serious ap- expressive plications. My focus is on four forms of gaze-based in- active teraction: diagnostic, active, passive, and expressive. passive diagnostic (off-line) In discussing each, I briefly review seminal results and recent advancements, highlighting outstanding selection/look to shoot gaze synthesis research problems. foveated rendering assessment/training 1. Introduction (gaze-contingent displays) Motivation for this paper was found in the somewhat Figure 1. Gaze interaction taxonomy. sudden inclusion of eye tracking technology in virtual reality. Recent acquisitions of eye tracking companies Eye Tribe, Eyefluence and SMI by Facebook (Oculus), movement is drawn from its synthesis, which can make Google, and Apple, respectively, were notable events. use of a procedural (stochastic) model of eye motion Other eye tracking developments in helmet-mounted dis- driven by goal-oriented tasks such as reading. plays (HMDs) include the FOVE, and SMI or Pupil Labs Before reviewing the four forms of gaze-based inter- add-ons to the HTC Vive. Interestingly, these HMDs action, a short review of eye movement basics offers some are affordable (∼$600) compared to what was available nomenclature and characteristics of gaze. some 15 years ago (∼$60,000) [1]. Most of these systems (including the one I used ca. 2002) feature binocular eye 2. Eye Movement Basics tracking at sampling rates 60 Hz or better. The newer systems sport a larger number of infra-red LEDs, e.g., Detailed human vision is limited to the central 2◦ surrounding each eye, and are more comfortable than my visual angle, about the dimension of one’s thumbnail HMD custom-built by Virtual Research and ISCAN. at arm’s length. Outside of this range, visual acuity Why has eye tracking suddenly become so popular, drops sharply, e.g., about 50% during photopic (day- or, perhaps more importantly, how is tracked gaze being time) conditions. High visual acuity within the central 2◦ exploited in virtual reality and serious games? A useful is due to the tight packing of cone photoreceptors in the taxonomy for reviewing these applications is shown in central foveal region of the retina. Outside foveal vision, Figure 1, which splits gaze-based interaction into four the visual field can be delineated further into parafoveal forms, namely diagnostic (off-line measurement), active vision (out to about 5◦), then perifoveal vision (10◦), and (selection, look to shoot), passive (foveated rendering, then peripheral vision (all the way out to about 80◦ on a.k.a. gaze-contingent displays), and expressive (gaze either the temporal or nasal side of each eye). Sundstedt synthesis). Diagnostic interaction is the mainstay of eye- showed a nice depiction of the human visual field in her tracked serious applications, such as training or assess- course notes [2] and subsequent book [3]. ment of expertise, and is possibly the longest standing Because of the fovea’s limited spatial extent (2◦), in use of gaze due to its mainly offline requirements. Di- order to visually inspect the entire 160◦–180◦ (horizon- agnostic analysis of gaze is still very much in demand, tal) field of view, one needs to reposition the fovea along especially in serious training situations such as flight successive points of fixation. Fixations are characterized or surgery training. Active interaction is rooted in the by tremor, drift, and microsaccades, which are used in desire to use the eyes to point and click, with gaze concert to stabilize gaze on the point of interest on gestures growing in popularity. Passive interaction is the one hand, but keep the eyes in constant motion the manipulation of scene elements in response to gaze on the other, so as to prevent adaptation [4]. This is a direction, e.g., to improve frame rate. Expressive eye consequence of the directional selectivity of retinal and cortical neurons implicated in visual perception [5], [6]. (e.g., with a laser pointer) is involved. Eye movements If the eyes were perfectly still, the visual image would are faster then hand/limb movements, and perhaps for fade from view.1 Most of viewing time (about 90%) is this reason seem more effortless than pointing. The spent in fixations, which is why detection of these eye expert is therefore free to look and make verbal deictic movements is of particular importance. references (e.g., “look at this” [15]) without having to The fovea is repositioned by large jumps of the eyes consciously think about pointing at something. known as saccades. Saccade amplitudes generally range Recorded eye movements of both expert and novice between 1◦–45◦ visual angle (but can be larger; at about can be used to assess the effectiveness of training. A 30◦, the head starts to rotate [8]). particularly good example of a serious game application When tracking an object, smooth pursuits are used is flight simulation, where the study of visual monitoring to match the motion of the moving target. When fixat- is especially important [16]. ing an object, the semi-circular canals of the inner ear Analysis of eye movements depends to a large extent provide signals to counter-rotate the eyes when the head on detection of fixations in the recorded (or real-time) turns—this is known as Vestibular-Ocular Response, or (x, y, t) eye movement signal. Outstanding problems in- VOR. The eyes may also rotate in opposite direction clude better algorithms for scanpath comparison, and during vergence movements; when looking close, the eyes better visualizations. Recent contributions include visu- converge, when looking far, they diverge. Vergence eye alization of dynamic ambient/focal visual attention [17], movements are used for depth perception and are tightly and transition matrix analysis of eye movement [18], but coupled to accommodation, the focusing of the eye’s lens. more advanced developments are sure to come. Further details can be found elsewhere [9]. 4. Active Applications 3. Diagnostic Applications As soon as eye trackers matured sufficiently to pro- duce a real-time signal of the viewer’s (x, y, t) gaze point, Diagnostic analysis of eye movements generally relies they were investigated for their interactive potential. on detection of fixations in an effort to discern what Two seminal contributions from this time are those of elements of the visual scene attracted the viewer’s atten- Jacob [19] and Starker and Bolt [20]. Both contributions tion. The sequential pattern of fixations is referred to as focused on some means of using dwell time to effect the scanpath [10]. What is perhaps most relevant to se- some kind of system response. Jacob used dwell time rious applications is the observation made classically by as a means of disambiguating gaze-based selection, while Yarbus [11]: the pattern of fixations is task-dependent. Starker and Bolt used it as an interest metric, prompting That is, vision is largely top-down, directed by view- the system to provide more detail when something was ing strategy and task demands. However, vision is also fixated for a prolonged period of time. What is especially bottom-up, drawn often involuntarily by eye-catching notable about Jacob’s contribution was his observation elements in the scene [12]. Being able to visualize and of the Midas Touch problem—anything looked at can analyze an expert’s strategy, e.g., during inspection or trigger a response unless some mechanism can be used monitoring, is of prime importance to the understanding to prevent it, e.g., Jacob’s introduction of dwell time. of expertise. Although dwell time is still heavily relied upon for Ericsson et al. [13] surveyed experts’ gaze and noted gaze-based selection, gaze-based gestures have also be- that experts tend to make shorter fixations, make bet- come popular. Along with a review of various gaze-based ter use of extrafoveal/peripheral information, and make gestural interfaces, we compared two leading approaches use of a larger visual span (area around the fixation). and showed that boundary-crossing gestures can be Because experts’ visual search strategies develop with faster than dwell time, depending on the given task [21]. training, it makes sense to not only analyze visual pat- This is obvious as dwell time incurs an artificial delay terns, e.g., to assess expertise, but also as a means of its whereas boundary crossing does not. development via training. In gameplay, a tempting form of interaction is to Following a review of literature related to the use of use the eyes to point at something to aim or shoot scanpaths in training, we showed that Gaze-Augmented at, as in a first-person shooter [22]. This is particularly Think-Aloud can be particularly effective [14]. This pro- effective for arcade-style games (e.g., missile command), tocol records the eye movements of an expert as they as it reduces the amount of mouse movement (although verbalize whatever task they are expert in, and then perhaps spinning that large trackball was part of the fun the video playback is shown to novices as a means of of the old arcade game). Gaze in this context can also training of the same task. This is a fairly straightforward be used to orient the viewpoint, as in Tobii’s (an eye application of eye tracking, yet it holds a number of tracking company) version of Rise of the Tomb Raider. important advantages over alternatives where pointing Sundstedt [3] reviewed various issues of gaze-based gameplay. The Midas Touch is an ever-present consid- 1. An impressive simulation of this phenomenon was demon- strated by Mahowald and Mead [7] in the design of a silicon retina eration.
Recommended publications
  • Noise Reduction Applied to Asteroseismology
    PERTURBATIONS OF OBSERVATIONS. NOISE REDUCTION APPLIED TO ASTEROSEISMOLOGY. Javier Pascual Granado CCD 21/10/2009 Contents • Noise characterization and time series analysis Introduction The colors of noise Some examples in astrophysics Spectral estimation • Noise reduction applied to asteroseismology Asteroseismology: Origin and Objetives CoRoT A new method for noise reduction: Phase Adding Method (PAM) Aplications: Numerical experiment Star HD181231 Star 102719279 Javier Pascual Granado CCD 21/10/2009 2 Introduction Javier Pascual Granado CCD 21/10/2009 3 The Colors Of Noise Pink noise Javier Pascual Granado CCD 21/10/2009 4 The Colors Of Noise Red noise Javier Pascual Granado CCD 21/10/2009 5 Some Examples In Astrophysics •Thermal noise due to a nonzero temperature is approximately white gaussian noise. • Photon-shot noise due to statistical fluctuations in the measurements has a Poisson distribution and a power increasing with frequency. It is a problem with weak signals. • Also seismic noise affect to sensible ground instruments like LIGO (gravitational wave detector). Nevertheless, for LISA the noise characterization adopted is a gaussian noise. •Observations of the black hole candidate X-ray binary Cyg X-1 by EXOSAT, show a continuum power spectrum with a pink noise. • In asteroseismology the noise is assumed to be of white gaussian type. Javier Pascual Granado CCD 21/10/2009 6 Time Series: Spectral Estimation A light curve (or a photometric time series) is a set of data points ordered In time. ti-1-ti might not be constant.
    [Show full text]
  • Intuilink Waveform Editor
    IntuiLink Waveform Editor The Agilent IntuiLink Arbitrary Waveform Editor application is an ActiveX document server. This application provides a graphical user interface (GUI) that allows you to create, import, modify, and export arbitrary waveforms, and to send these waveforms to the Agilent type 33120A, 33220A or 33250A Arbitrary Waveform (ARB) Generator instrument. The user interface is shown below with its main areas identified by numbers: Let's look at each of these numbered areas in turn. 1. Menu Bar - provides standard Microsoft Windows style menus. 2. Standard Toolbar - provides toolbar buttons for such standard menu functions as Save, Cut, Paste, and Print. 3. Waveform Toolbar - provides toolbar buttons for the arbitrary waveform Creation and Edit functions. In particular, these buttons allow you to Add waveform segments to the active waveform edit window. 4. Waveform Edit Windows - each of these windows allows you to create, edit, and display an arbitrary waveform. (Waveform defaults – see: Appendix A.) The contents of the active waveform edit window can be sent to an Agilent ARB Generator. 5. Status Bar - displays messages about the following: - General status messages. - The current mode. - In Select mode, the start and end positions and number of points selected. - In Marker mode: · When an X marker is being moved, the positions of both X markers and the difference between them. · When a Y marker is being moved, the positions of both Y markers and the difference between them. - In Freehand or Line Draw mode, the cursor position and the length of the waveform. - The address of an arbitrary waveform generator (for example: GPIB0::10::INSTR) if one is connected, or else Disconnected.
    [Show full text]
  • 3A Whatissound Part 2
    What is Sound? Part II Timbre & Noise Prayouandi (2010) - OneOhtrix Point Never 1 PSYCHOACOUSTICS ACOUSTICS LOUDNESS AMPLITUDE PITCH FREQUENCY QUALITY TIMBRE 2 Timbre / Quality everything that is not frequency / pitch or amplitude / loudness envelope - the attack, sustain, and decay portions of a sound spectra - the aggregate of simple waveforms (partials) that make up the frequency space of a sound. noise - the inharmonic and unpredictable fuctuations in the sound / signal 3 envelope 4 envelope ADSR 5 6 Frequency Spectrum 7 Spectral Analysis 8 Additive Synthesis 9 Organ Harmonics 10 Spectral Analysis 11 Cancellation and Reinforcement In-phase, out-of-phase and composite wave forms 12 (max patch) Tone as the sum of partials 13 harmonic / overtone series the fundamental is the lowest partial - perceived pitch A harmonic partial conforms to the overtone series which are whole number multiples of the fundamental frequency(f) (f)1, (f)2, (f)3, (f)4, etc. if f=110 110, 220, 330, 440 doubling = 1 octave An inharmonic partial is outside of the overtone series, it does not have a whole number multiple relationship with the fundamental. 14 15 16 Basic Waveforms fundamental only, no additional harmonics odd partials only (1,3,5,7...) 1 / p2 (3rd partial has 1/9 the energy of the fundamental) all partials 1 / p (3rd partial has 1/3 the energy of the fundamental) only odd-numbered partials 1 / p (3rd partial has 1/3 the energy of the fundamental) 17 (max patch) Spectrogram (snapshot) 18 Identifying Different Instruments 19 audio sonogram of 2 bird trills 20 Spear (software) audio surgery? isolate partials within a complex sound 21 the physics of noise Random additions to a signal By fltering white noise, we get different types (colors) of noise, parallels to visible light White Noise White noise is a random noise that contains an equal amount of energy in all frequency bands.
    [Show full text]
  • Musical Elements in the Discrete-Time Representation of Sound
    0 Musical elements in the discrete-time representation of sound RENATO FABBRI, University of Sao˜ Paulo VILSON VIEIRA DA SILVA JUNIOR, Cod.ai ANTONIOˆ CARLOS SILVANO PESSOTTI, Universidade Metodista de Piracicaba DEBORA´ CRISTINA CORREA,ˆ University of Western Australia OSVALDO N. OLIVEIRA JR., University of Sao˜ Paulo e representation of basic elements of music in terms of discrete audio signals is oen used in soware for musical creation and design. Nevertheless, there is no unied approach that relates these elements to the discrete samples of digitized sound. In this article, each musical element is related by equations and algorithms to the discrete-time samples of sounds, and each of these relations are implemented in scripts within a soware toolbox, referred to as MASS (Music and Audio in Sample Sequences). e fundamental element, the musical note with duration, volume, pitch and timbre, is related quantitatively to characteristics of the digital signal. Internal variations of a note, such as tremolos, vibratos and spectral uctuations, are also considered, which enables the synthesis of notes inspired by real instruments and new sonorities. With this representation of notes, resources are provided for the generation of higher scale musical structures, such as rhythmic meter, pitch intervals and cycles. is framework enables precise and trustful scientic experiments, data sonication and is useful for education and art. e ecacy of MASS is conrmed by the synthesis of small musical pieces using basic notes, elaborated notes and notes in music, which reects the organization of the toolbox and thus of this article. It is possible to synthesize whole albums through collage of the scripts and seings specied by the user.
    [Show full text]
  • White Noise Generator Circuitry and Analysis
    UNIVERSITY OF TEXAS AT SAN ANTONIO White Noise Generator Circuitry and Analysis David Sanchez 8/4/2008 Table of Contents Introduction .................................................................................................................................................. 3 Overview of the Circuit ................................................................................................................................ 3 Circuit Subsets .............................................................................................................................................. 4 Noise Generation Stage ........................................................................................................................ 4 Amplification of the Noise Signal .......................................................................................................... 6 Active Low-Pass Filter ........................................................................................................................... 7 Audio Output Stage............................................................................................................................... 8 Analysis ......................................................................................................................................................... 9 Discussion ................................................................................................................................................... 11 Conclusion .................................................................................................................................................
    [Show full text]
  • Deep Point Correlation Design
    Deep Point Correlation Design THOMAS LEIMKÜHLER, MPI Informatik, Saarland Informatics Campus GURPRIT SINGH, MPI Informatik, Saarland Informatics Campus KAROL MYSZKOWSKI, MPI Informatik, Saarland Informatics Campus HANS-PETER SEIDEL, MPI Informatik, Saarland Informatics Campus TOBIAS RITSCHEL, University College London 10,000 10D points / s l1(radSpec(X)- BNOT)+ l1(spec(x(X))- STEP) 2D 1D 2D 1D Applications Point pattern Point Neural network Neural Design specication Design Result spectra Target spectra MC rendering Object placement Dithering Fig. 1. We suggest a framework for designing correlated point patterns. A design specification (left) is used to train an architecture mapping random points to correlated ones (middle). This architecture produces ten-thousands of points per second with use in rendering, object placement or dithering (right). Designing point patterns with desired properties can require substantial ACM Reference Format: effort, both in hand-crafting coding and mathematical derivation. Retaining Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, these properties in multiple dimensions or for a substantial number of points and Tobias Ritschel. 2019. Deep Point Correlation Design. ACM Trans. Graph. can be challenging and computationally expensive. Tackling those two issues, 38, 6, Article 226 (November 2019), 17 pages. https://doi.org/10.1145/3355089. we suggest to automatically generate scalable point patterns from design 3356562 goals using deep learning. We phrase pattern generation as a deep compo- sition of weighted distance-based unstructured filters. Deep point pattern design means to optimize over the space of all such compositions according to 1 INTRODUCTION a user-provided point correlation loss, a small program which measures a pat- Point patterns have many important uses in computer graphics, tern’s fidelity in respect to its spatial or spectral statistics, linear or non-linear linking apparently disparate topics such as natural placement of (e.
    [Show full text]
  • State Estimation Using Gaussian Process Regression for Colored Noise Systems
    State Estimation using Gaussian Process Regression for Colored Noise Systems Kyuman Lee Eric N. Johnson School of Aerospace Engineering School of Aerospace Engineering Georgia Institute of Technology Georgia Institute of Technology Atlanta, GA 30332 Atlanta, GA 30332 404-422-3697 404-385-2519 [email protected] [email protected] Abstract—The goal of this study is to use Gaussian process (GP) the times of interest in the system; for brevity such errors are regression models to estimate the state of colored noise systems. called “colored” noise [1]. In audio engineering, electronics, The derivation of a Kalman filter assumes that the process noise physics, and many other fields, the color of a noise signal and measurement noise are uncorrelated and both white. In is generally understood to be some broad characteristic of relaxing those assumptions, the Kalman filter equations were its power spectrum. Different colors of noise have signif- modified to deal with the non-whiteness of each noise source. The standard Kalman filter ran on an augmented system that icantly different properties: for example, as audio signals had white noises and other approaches were also introduced they will sound different to human ears, and as images they depending on the forms of the noises. Those existing methods will have a visibly different texture. In image processing, can only work when the characteristics of the colored noise are the quality of images will directly influence the accuracy perfectly known. However, it is usually difficult to model a noise of locating landmarks. During sampling and transmission, without additional knowledge of the noise statistics.
    [Show full text]
  • Characterization and Comparison of Optical Source Relative Intensity Noise and Effects in Optical Coherence Tomography
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Illinois Digital Environment for Access to Learning and Scholarship Repository CHARACTERIZATION AND COMPARISON OF OPTICAL SOURCE RELATIVE INTENSITY NOISE AND EFFECTS IN OPTICAL COHERENCE TOMOGRAPHY BY SUNGHWAN SHIN THESIS Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Computer Engineering in the Graduate College of the University of Illinois at Urbana-Champaign, 2010 Urbana, Illinois Adviser: Professor Stephen A. Boppart ABSTRACT This thesis research investigates the effects of optical source noise in optical coherence tomography (OCT). While shot noise, thermal noise and relative intensity noise (RIN) (excess photon noise) constitute optical noise, RIN is the least understood and often the most significant factor limiting the sensitivity of an optical system. The existing and prevalent theory being used for estimating RIN for various light sources in OCT is questionable, and cannot be applied uniformly for different types of sources. The origin of noise in various sources varies significantly, owing to the different physical nature of photon generation. In this thesis, RIN of several OCT light sources are characterized and compared. Light sources include a super-luminescent diode (SLD), an erbium-doped fiber amplifier (EDFA), multiplexed SLDs, and a continuous wave (cw) laser. A method for the reduction of RIN by amplifying the SLD light output by using a gain-saturated semiconductor optical amplifier (SOA) is reported. Also, measurements using a time-domain OCT (TD-OCT) system are performed to verify the effects of optical source noise reduction on OCT data.
    [Show full text]
  • Investigation of Improved Masking Noise for the Speech Privacy
    INVESTIGATION OF IMPROVED MASKING NOISE FOR THE SPEECH PRIVACY by Allen Cho APPROVED BY SUPERVISORY COMMITTEE: ___________________________________________ Dr. Issa M. S. Panahi, Chair ___________________________________________ Dr. John H. L. Hansen ___________________________________________ Dr. P. K. Rajasekaran Copyright 2016 Allen Cho All Rights Reserved For the glory of God by the grace of God INVESTIGATION OF IMPROVED MASKING NOISE FOR THE SPEECH PRIVACY by ALLEN CHO, BS THESIS Presented to the Faculty of The University of Texas at Dallas in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE IN ELECTRICAL ENGINEERING THE UNIVERSITY OF TEXAS AT DALLAS December 2016 ACKNOWLEDGMENTS First and above all, I praise God almighty for providing me this opportunity and granting me the capability to proceed successfully. This thesis has come to its present form thanks to the assistance and guidance of several people. I would, therefore, like to offer my sincere thanks to all of them. Foremost, I would like to express my sincere gratitude to my advisor Dr. Issa Panahi for his continuous support for my Master’s degree study and research as well as for his patience, motivation, enthusiasm, and immense knowledge. His guidance helped me throughout my research and writing of this thesis. I could not have imagined having a better advisor and mentor for my graduate study. Besides my advisor, I would like to thank the rest of my thesis committee: Dr. P. K. Rajasekaran, and Prof. John Hansen for their encouragement, insightful comments, and challenging questions. My sincere thanks also goes to Speech Privacy Systems for offering me the valuable opportunity to study and research with their groups and leading me to work on diverse exciting projects.
    [Show full text]
  • Word Boundary Detection
    University of New Hampshire University of New Hampshire Scholars' Repository Master's Theses and Capstones Student Scholarship Spring 2007 Word boundary detection Deepak Jadhav University of New Hampshire, Durham Follow this and additional works at: https://scholars.unh.edu/thesis Recommended Citation Jadhav, Deepak, "Word boundary detection" (2007). Master's Theses and Capstones. 268. https://scholars.unh.edu/thesis/268 This Thesis is brought to you for free and open access by the Student Scholarship at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Master's Theses and Capstones by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. WORD BOUNDARY DETECTION BY DEEPAK JADHAV B.E. Babasaheb Ambedkar Marathwada University, India, 2000 THESIS Submitted to the University of New Hampshire in Partial Fulfillment of the Requirements for the Degree of Masters of Science In Electrical Engineering May 2007 Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. UMI Number: 1443609 INFORMATION TO USERS The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleed-through, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. ® UMI UMI Microform 1443609 Copyright 2007 by ProQuest Information and Learning Company. All rights reserved.
    [Show full text]
  • A Survey of Blue-Noise Sampling and Its Applications
    Yan DM, Guo JW, Wang B et al. A survey of blue-noise sampling and its applications. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 30(3): 439–452 May 2015. DOI 10.1007/s11390-015-1535-0 A Survey of Blue-Noise Sampling and Its Applications 1,2 2 3 ý² Àïå Ê Dong-Ming Yan (î ), Member, CCF, ACM, Jian-Wei Guo ( ), Bin Wang ( ) 2 1,4 ¡· Xiao-Peng Zhang (Ü ), and Peter Wonka 1Visual Computing Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia 2National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 3School of Software, Tsinghua University, Beijing 100084, China 4Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287, U.S.A. E-mail: [email protected]; [email protected]; [email protected] E-mail: [email protected]; [email protected] Received March 9, 2015; revised April 2, 2015. Abstract In this paper, we survey recent approaches to blue-noise sampling and discuss their beneficial applications. We discuss the sampling algorithms that use points as sampling primitives and classify the sampling algorithms based on various aspects, e.g., the sampling domain and the type of algorithm. We demonstrate several well-known applications that can be improved by recent blue-noise sampling techniques, as well as some new applications such as dynamic sampling and blue-noise remeshing. Keywords blue-noise sampling, Poisson-disk sampling, Lloyd relaxation, rendering, remeshing 1 Introduction concentrated spikes in energy. Intuitively, blue-noise sampling generates randomized uniform distributions.
    [Show full text]
  • Electronic Circuit Design for Audio Noise Elimination
    DOKUZ EYLÜL UNIVERSITY GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES ELECTRONIC CIRCUIT DESIGN FOR AUDIO NOISE ELIMINATION by Şekibe Şebnem TAS July, 2008 İZMİR ELECTRONIC CIRCUIT DESIGN FOR AUDIO NOISE ELIMINATION A Thesis Submitted to the Graduate School of Natural and Applied Sciences of Dokuz Eylül University In Partial Fulfillment of the Requirements for the Degree of Master of Science in Electrical and Electronics Engineering by Şekibe Şebnem TAS July, 2008 İZMİR M.Sc THESIS EXAMINATION RESULT FORM We have read the thesis entitled “ELECTRONIC CIRCUIT DESIGN FOR AUDIO NOISE ELIMINATION” completed by ŞEKİBE ŞEBNEM TAS under supervision of ASSOC. PROF. DR. UĞUR ÇAM and we certify that in our opinion it is fully adequate, in scope and in quality, as a thesis for the degree of Master of Science. Assoc. Prof. Dr. Uğur ÇAM (Jury Member) (Jury Member) Prof.Dr. Cahit HELVACI Director Graduate School of Natural and Applied Sciences ii ACKNOWLEDGEMENTS I would like to thank my advisor Assoc. Prof. Dr. Uğur Çam for his support, encouragement and valuable guidance. I am grateful to him for letting me share his professional knowledge and experience. I would like to thank TÜBİTAK for supporting me financially during my master study. I also would like to thank my colleagues at Vestel R&D department who helped me a lot and gave me the oppurtunity to use R&D laboratories during my research. I am also grateful to Kürşat Sarıarslan for his help and for sharing his experience with me during my study. Finally, I would like to thank my parents for always helping and supporting me throughout my life.
    [Show full text]