Anamorphic Projection: Analogical/Digital Algorithms
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
An Analytical Introduction to Descriptive Geometry
An analytical introduction to Descriptive Geometry Adrian B. Biran, Technion { Faculty of Mechanical Engineering Ruben Lopez-Pulido, CEHINAV, Polytechnic University of Madrid, Model Basin, and Spanish Association of Naval Architects Avraham Banai Technion { Faculty of Mathematics Prepared for Elsevier (Butterworth-Heinemann), Oxford, UK Samples - August 2005 Contents Preface x 1 Geometric constructions 1 1.1 Introduction . 2 1.2 Drawing instruments . 2 1.3 A few geometric constructions . 2 1.3.1 Drawing parallels . 2 1.3.2 Dividing a segment into two . 2 1.3.3 Bisecting an angle . 2 1.3.4 Raising a perpendicular on a given segment . 2 1.3.5 Drawing a triangle given its three sides . 2 1.4 The intersection of two lines . 2 1.4.1 Introduction . 2 1.4.2 Examples from practice . 2 1.4.3 Situations to avoid . 2 1.5 Manual drawing and computer-aided drawing . 2 i ii CONTENTS 1.6 Exercises . 2 Notations 1 2 Introduction 3 2.1 How we see an object . 3 2.2 Central projection . 4 2.2.1 De¯nition . 4 2.2.2 Properties . 5 2.2.3 Vanishing points . 17 2.2.4 Conclusions . 20 2.3 Parallel projection . 23 2.3.1 De¯nition . 23 2.3.2 A few properties . 24 2.3.3 The concept of scale . 25 2.4 Orthographic projection . 27 2.4.1 De¯nition . 27 2.4.2 The projection of a right angle . 28 2.5 The two-sheet method of Monge . 36 2.6 Summary . 39 2.7 Examples . 43 2.8 Exercises . -
Automatic 2.5D Cartoon Modelling
Automatic 2.5D Cartoon Modelling Fengqi An School of Computer Science and Engineering University of New South Wales A dissertation submitted for the degree of Master of Science 2012 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES T hesis!Dissertation Sheet Surname or Family name. AN First namEY. Fengqi Orner namels: Zane Abbreviatlo(1 for degree as given in the University calendar: MSc School: Computer Science & Engineering Faculty: Engineering Title; Automatic 2.50 Cartoon Modelling Abstract 350 words maximum: (PLEASE TYPE) Declarat ion relating to disposition of project thesis/dissertation I hereby grant to the University of New South Wales or its agents the right to archive and to make available my thesis or dissertation in whole orin part in the University libraries in all forms of media, now or here after known, subject to the provisions of the Copyright Act 1968. I retain all property rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of thts thesis or dissertation. I also authorise University Microfilms to use the 350 word abstract of my thesis in Dissertation· Abstracts International (this is applicable to-doctoral theses only) .. ... .............. ~..... ............... 24 I 09 I 2012 Signature · · ·· ·· ·· ···· · ··· ·· ~ ··· · ·· ··· ···· Date The University recognises that there may be exceptional circumstances requiring restrictions on copying or conditions on use. Requests for restriction for a period of up to 2 years must be made in writi'ng. Requests for -
Viewing in 3D
Viewing in 3D Viewing in 3D Foley & Van Dam, Chapter 6 • Transformation Pipeline • Viewing Plane • Viewing Coordinate System • Projections • Orthographic • Perspective OpenGL Transformation Pipeline Viewing Coordinate System Homogeneous coordinates in World System zw world yw ModelViewModelView Matrix Matrix xw Tractor Viewing System Viewer Coordinates System ProjectionProjection Matrix Matrix Clip y Coordinates v Front- xv ClippingClipping Wheel System P0 zv ViewportViewport Transformation Transformation ne pla ing Window Coordinates View Specifying the Viewing Coordinates Specifying the Viewing Coordinates • Viewing Coordinates system, [xv, yv, zv], describes 3D objects with respect to a viewer zw y v P v xv •A viewing plane (projection plane) is set up N P0 zv perpendicular to zv and aligned with (xv,yv) yw xw ne pla ing • In order to specify a viewing plane we have View to specify: •P0=(x0,y0,z0) is the point where a camera is located •a vector N normal to the plane • P is a point to look-at •N=(P-P)/|P -P| is the view-plane normal vector •a viewing-up vector V 0 0 •V=zw is the view up vector, whose projection onto • a point on the viewing plane the view-plane is directed up Viewing Coordinate System Projections V u N z N ; x ; y z u x • Viewing 3D objects on a 2D display requires a v v V u N v v v mapping from 3D to 2D • The transformation M, from world-coordinate into viewing-coordinates is: • A projection is formed by the intersection of certain lines (projectors) with the view plane 1 2 3 ª x v x v x v 0 º ª 1 0 0 x 0 º « » « -
Squaring the Circle in Panoramas
Squaring the Circle in Panoramas Lihi Zelnik-Manor1 Gabriele Peters2 Pietro Perona1 1. Department of Electrical Engineering 2. Informatik VII (Graphische Systeme) California Institute of Technology Universitat Dortmund Pasadena, CA 91125, USA Dortmund, Germany http://www.vision.caltech.edu/lihi/SquarePanorama.html Abstract and conveying the vivid visual impression of large panora- mas. Such mosaics are superior to panoramic pictures taken Pictures taken by a rotating camera cover the viewing with conventional fish-eye lenses in many respects: they sphere surrounding the center of rotation. Having a set of may span wider fields of view, they have unlimited reso- images registered and blended on the sphere what is left to lution, they make use of cheaper optics and they are not be done, in order to obtain a flat panorama, is projecting restricted to the projection geometry imposed by the lens. the spherical image onto a picture plane. This step is unfor- The geometry of single view point panoramas has long tunately not obvious – the surface of the sphere may not be been well understood [12, 21]. This has been used for mo- flattened onto a page without some form of distortion. The saicing of video sequences (e.g., [13, 20]) as well as for ob- objective of this paper is discussing the difficulties and op- taining super-resolution images (e.g., [6, 23]). By contrast portunities that are connected to the projection from view- when the point of view changes the mosaic is ‘impossible’ ing sphere to image plane. We first explore a number of al- unless the structure of the scene is very special. -
Introduction Week 1, Lecture 1
CS 430 Computer Graphics Introduction Week 1, Lecture 1 David Breen, William Regli and Maxim Peysakhov Department of Computer Science Drexel University 1 Overview • Course Policies/Issues • Brief History of Computer Graphics • The Field of Computer Graphics: A view from 66,000ft • Structure of this course • Homework overview • Introduction and discussion of homework #1 2 Computer Graphics I: Course Goals • Provide introduction to fundamentals of 2D and 3D computer graphics – Representation (lines/curves/surfaces) – Drawing, clipping, transformations and viewing – Implementation of a basic graphics system • draw lines using Postscript • simple frame buffer with PBM & PPM format • ties together 3D projection and 2D drawing 3 Interactive Computer Graphics CS 432 • Learn and program WebGL • Computer Graphics was a pre-requisite – Not anymore • Looks at graphics “one level up” from CS 430 • Useful for Games classes • Part of the HCI and Game Development & Design tracks? 5 Advanced Rendering Techniques (Advanced Computer Graphics) • Might be offered in the Spring term • 3D Computer Graphics • CS 430/536 is a pre-requisite • Implement Ray Tracing algorithm • Lighting, rendering, photorealism • Study Radiosity and Photon Mapping 7 ART Student Images 8 Computer Graphics I: Technical Material • Course coverage – Mathematical preliminaries – 2D lines and curves – Geometric transformations – Line and polygon drawing – 3D viewing, 3D curves and surfaces – Splines, B-Splines and NURBS – Solid Modeling – Color, hidden surface removal, Z-buffering 9 -
CS 4204 Computer Graphics 3D Views and Projection
CS 4204 Computer Graphics 3D views and projection Adapted from notes by Yong Cao 1 Overview of 3D rendering Modeling: * Topic we’ve already discussed • *Define object in local coordinates • *Place object in world coordinates (modeling transformation) Viewing: • Define camera parameters • Find object location in camera coordinates (viewing transformation) Projection: project object to the viewplane Clipping: clip object to the view volume *Viewport transformation *Rasterization: rasterize object Simple teapot demo 3D rendering pipeline Vertices as input Series of operations/transformations to obtain 2D vertices in screen coordinates These can then be rasterized 3D rendering pipeline We’ve already discussed: • Viewport transformation • 3D modeling transformations We’ll talk about remaining topics in reverse order: • 3D clipping (simple extension of 2D clipping) • 3D projection • 3D viewing Clipping: 3D Cohen-Sutherland Use 6-bit outcodes When needed, clip line segment against planes Viewing and Projection Camera Analogy: 1. Set up your tripod and point the camera at the scene (viewing transformation). 2. Arrange the scene to be photographed into the desired composition (modeling transformation). 3. Choose a camera lens or adjust the zoom (projection transformation). 4. Determine how large you want the final photograph to be - for example, you might want it enlarged (viewport transformation). Projection transformations Introduction to Projection Transformations Mapping: f : Rn Rm Projection: n > m Planar Projection: Projection on a plane. -
Perspective Projection
Transform 3D objects on to a 2D plane using projections 2 types of projections Perspective Parallel In parallel projection, coordinate positions are transformed to the view plane along parallel lines. In perspective projection, object position are transformed to the view plane along lines that converge to a point called projection reference point (center of projection) 2 Perspective Projection 3 Parallel Projection 4 PROJECTIONS PARALLEL PERSPECTIVE (parallel projectors) (converging projectors) One point Oblique Orthographic (one principal (projectors perpendicular (projectors not perpendicular to vanishing point) to view plane) view plane) Two point General (Two principal Multiview Axonometric vanishing point) (view plane parallel (view plane not parallel to Cavalier principal planes) to principal planes) Three point (Three principal Cabinet vanishing point) Isometric Dimetric Trimetric 5 Perspective v Parallel • Perspective: – visual effect is similar to human visual system... – has 'perspective foreshortening' • size of object varies inversely with distance from the center of projection. Projection of a distant object are smaller than the projection of objects of the same size that are closer to the projection plane. • Parallel: It preserves relative proportion of object. – less realistic view because of no foreshortening – however, parallel lines remain parallel. 6 Perspective Projections • Characteristics: • Center of Projection (CP) is a finite distance from object • Projectors are rays (i.e., non-parallel) • Vanishing points • Objects appear smaller as distance from CP (eye of observer) increases • Difficult to determine exact size and shape of object • Most realistic, difficult to execute 7 • When a 3D object is projected onto view plane using perspective transformation equations, any set of parallel lines in the object that are not parallel to the projection plane, converge at a vanishing point. -
On the Dimensionality of Deformable Face Models
On the Dimensionality of Deformable Face Models CMU-RI-TR-06-12 Iain Matthews, Jing Xiao, and Simon Baker The Robotics Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 Abstract Model-based face analysis is a general paradigm with applications that include face recognition, expression recognition, lipreading, head pose estimation, and gaze estimation. A face model is first constructed from a collection of training data, either 2D images or 3D range scans. The face model is then fit to the input image(s) and the model parameters used in whatever the application is. Most existing face models can be classified as either 2D (e.g. Active Appearance Models) or 3D (e.g. Morphable Models.) In this paper we compare 2D and 3D face models along four axes: (1) representational power, (2) construction, (3) real-time fitting, and (4) self occlusion reasoning. For each axis in turn, we outline the differences that result from using a 2D or a 3D face model. Keywords: Model-based face analysis, 2D Active Appearance Models, 3D Morphable Models, representational power, model construction, non-rigid structure-from-motion, factorization, real- time fitting, the inverse compositional algorithm, constrained fitting, occlusion reasoning. 1 Introduction Model-based face analysis is a general paradigm with numerous applications. A face model is first constructed from either a set of 2D training images [Cootes et al., 2001] or a set of 3D range scans [Blanz and Vetter, 1999]. The face model is then fit to the input image(s) and the model parameters are used in whatever the application is. -
3D Object Detection from a Single RGB Image Via Perspective Points
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points Siyuan Huang Yixin Chen Tao Yuan Department of Statistics Department of Statistics Department of Statistics [email protected] [email protected] [email protected] Siyuan Qi Yixin Zhu Song-Chun Zhu Department of Computer Science Department of Statistics Department of Statistics [email protected] [email protected] [email protected] Abstract Detecting 3D objects from a single RGB image is intrinsically ambiguous, thus re- quiring appropriate prior knowledge and intermediate representations as constraints to reduce the uncertainties and improve the consistencies between the 2D image plane and the 3D world coordinate. To address this challenge, we propose to adopt perspective points as a new intermediate representation for 3D object detection, defined as the 2D projections of local Manhattan 3D keypoints to locate an object; these perspective points satisfy geometric constraints imposed by the perspective projection. We further devise PerspectiveNet, an end-to-end trainable model that simultaneously detects the 2D bounding box, 2D perspective points, and 3D object bounding box for each object from a single RGB image. PerspectiveNet yields three unique advantages: (i) 3D object bounding boxes are estimated based on perspective points, bridging the gap between 2D and 3D bounding boxes without the need of category-specific 3D shape priors. (ii) It predicts the perspective points by a template-based method, and a perspective loss is formulated to maintain the perspective constraints. (iii) It maintains the consistency between the 2D per- spective points and 3D bounding boxes via a differentiable projective function. Experiments on SUN RGB-D dataset show that the proposed method significantly outperforms existing RGB-based approaches for 3D object detection. -
DLA-RS4810 3D Enabled D-ILA Media Room Projector
DLA-RS4810 3D Enabled D-ILA Media Room Projector An ideal media room 4K Precision 3D enabled D-ILA projector featuring 4K e-shift 2 technology with a native contrast ratio of 50,000:1 • 1080p Three Chip 3D Enabled D-ILA Projector • Upgraded lens memory function memorizes 5 positions of focus, zoom and shift enabling recall of a variety of • High definition e-shift2 4K Precision (3840 X 2160) aspect ratio configurations Projected Image • Control: LAN / RS-232C / IR / 12 V Screen Trigger • 50,000:1 Native Contrast Ratio Output / New remote control with 3D functions • Multiple Pixel Control with JVC's 8 Band Detection • New 230 Watt NSH Illumination System (improves lamp — 2K to 4K Upscaling Engine life to 4,000 hours in Normal Mode) • Highly customizable built-in 2D to 3D converter • Available exclusively through AVAD custom installers creates dynamic 3D images from 2D video content Certified Performance QC and 3 year parts & labor warranty • 1.4 to 2.8:1 motorized zoom lens with Horizontal and Vertical offset Note: Optional 3D Glasses (PK-AG3 or PK-AG2) and 3D Synchro Emitter (PK-EM2 or PK-EM1) are required for viewing images in 3D. JVC e-shift 2 Projection 4K Precision D-ILA 3D Projection* JVC’s totally revamped optical engine incorporating There's nothing like 3D to immerse you into the scene and the DLA-RS4810 uses the three D-ILA imaging devices and new 4K e-shift 2 frame sequential method which provides separate left-eye and right-eye images technology provides improved contrast and natural through synchronized active shutter glasses. -
Anamorphosis: Optical Games with Perspective’S Playful Parent
Anamorphosis: Optical games with Perspective's Playful Parent Ant´onioAra´ujo∗ Abstract We explore conical anamorphosis in several variations and discuss its various constructions, both physical and diagrammatic. While exploring its playful aspect as a form of optical illusion, we argue against the prevalent perception of anamorphosis as a mere amusing derivative of perspective and defend the exact opposite view|that perspective is the derived concept, consisting of plane anamorphosis under arbitrary limitations and ad-hoc alterations. We show how to define vanishing points in the context of anamorphosis in a way that is valid for all anamorphs of the same set. We make brief observations regarding curvilinear perspectives, binocular anamorphoses, and color anamorphoses. Keywords: conical anamorphosis, optical illusion, perspective, curvilinear perspective, cyclorama, panorama, D¨urermachine, color anamorphosis. Introduction It is a common fallacy to assume that something playful is surely shallow. Conversely, a lack of playfulness is often taken for depth. Consider the split between the common views on anamorphosis and perspective: perspective gets all the serious gigs; it's taught at school, works at the architect's firm. What does anamorphosis do? It plays parlour tricks! What a joker! It even has a rather awkward dictionary definition: Anamorphosis: A distorted projection or drawing which appears normal when viewed from a particular point or with a suitable mirror or lens. (Oxford English Dictionary) ∗This work was supported by FCT - Funda¸c~aopara a Ci^enciae a Tecnologia, projects UID/MAT/04561/2013, UID/Multi/04019/2013. Proceedings of Recreational Mathematics Colloquium v - G4G (Europe), pp. 71{86 72 Anamorphosis: Optical games. -
View-Dependent 3D Projection Using Depth-Image-Based Head Tracking
View-dependent 3D Projection using Depth-Image-based Head Tracking Jens Garstka Gabriele Peters University of Hagen University of Hagen Chair of Human-Computer-Interaction Chair of Human-Computer-Interaction Universitatsstr.¨ 1, 58097 Hagen, Germany Universitatsstr.¨ 1, 58097 Hagen, Germany [email protected] [email protected] Abstract is also referred to as the signature. Subsequently for each depth image a signature is created and compared against The idea of augmenting our physical reality with virtual the signatures in the database. For the most likely matches entities in an unobtrusive, embedded way, i. e., without the a correlation metric is calculated between these and the im- necessity of wearing hardware or using expensive display age to find the best match. devices is exciting. Due to the development of new inexpen- Late in 2006, Nintendo released a game console with a sive depth camera systems an implementation of this idea new controller called the Wii Remote. This wireless con- became affordable for everyone. This paper demonstrates troller is used as a pointing device and detects movements an approach to capture and track a head using a depth cam- with its three axis accelerometers. Due to the low cost of era. From its position in space we will calculate a view- this controller and the possibility to be connected via Blue- dependent 3D projection of a scene which can be projected tooth, numerous alternative applications, such as those pro- on walls, on tables, or on any other type of flat surface. Our posed by Lee [4], Schlomer¨ et al.