Depth of Field in Photography
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Still Photography
Still Photography Soumik Mitra, Published by - Jharkhand Rai University Subject: STILL PHOTOGRAPHY Credits: 4 SYLLABUS Introduction to Photography Beginning of Photography; People who shaped up Photography. Camera; Lenses & Accessories - I What a Camera; Types of Camera; TLR; APS & Digital Cameras; Single-Lens Reflex Cameras. Camera; Lenses & Accessories - II Photographic Lenses; Using Different Lenses; Filters. Exposure & Light Understanding Exposure; Exposure in Practical Use. Photogram Introduction; Making Photogram. Darkroom Practice Introduction to Basic Printing; Photographic Papers; Chemicals for Printing. Suggested Readings: 1. Still Photography: the Problematic Model, Lew Thomas, Peter D'Agostino, NFS Press. 2. Images of Information: Still Photography in the Social Sciences, Jon Wagner, 3. Photographic Tools for Teachers: Still Photography, Roy A. Frye. Introduction to Photography STILL PHOTOGRAPHY Course Descriptions The department of Photography at the IFT offers a provocative and experimental curriculum in the setting of a large, diversified university. As one of the pioneers programs of graduate and undergraduate study in photography in the India , we aim at providing the best to our students to help them relate practical studies in art & craft in professional context. The Photography program combines the teaching of craft, history, and contemporary ideas with the critical examination of conventional forms of art making. The curriculum at IFT is designed to give students the technical training and aesthetic awareness to develop a strong individual expression as an artist. The faculty represents a broad range of interests and aesthetics, with course offerings often reflecting their individual passions and concerns. In this fundamental course, students will identify basic photographic tools and their intended purposes, including the proper use of various camera systems, light meters and film selection. -
Completing a Photography Exhibit Data Tag
Completing a Photography Exhibit Data Tag Current Data Tags are available at: https://unl.box.com/s/1ttnemphrd4szykl5t9xm1ofiezi86js Camera Make & Model: Indicate the brand and model of the camera, such as Google Pixel 2, Nikon Coolpix B500, or Canon EOS Rebel T7. Focus Type: • Fixed Focus means the photographer is not able to adjust the focal point. These cameras tend to have a large depth of field. This might include basic disposable cameras. • Auto Focus means the camera automatically adjusts the optics in the lens to bring the subject into focus. The camera typically selects what to focus on. However, the photographer may also be able to select the focal point using a touch screen for example, but the camera will automatically adjust the lens. This might include digital cameras and mobile device cameras, such as phones and tablets. • Manual Focus allows the photographer to manually adjust and control the lens’ focus by hand, usually by turning the focus ring. Camera Type: Indicate whether the camera is digital or film. (The following Questions are for Unit 2 and 3 exhibitors only.) Did you manually adjust the aperture, shutter speed, or ISO? Indicate whether you adjusted these settings to capture the photo. Note: Regardless of whether or not you adjusted these settings manually, you must still identify the images specific F Stop, Shutter Sped, ISO, and Focal Length settings. “Auto” is not an acceptable answer. Digital cameras automatically record this information for each photo captured. This information, referred to as Metadata, is attached to the image file and goes with it when the image is downloaded to a computer for example. -
Visual Tilt Estimation for Planar-Motion Methods in Indoor Mobile Robots
robotics Article Visual Tilt Estimation for Planar-Motion Methods in Indoor Mobile Robots David Fleer Computer Engineering Group, Faculty of Technology, Bielefeld University, D-33594 Bielefeld, Germany; dfl[email protected]; Tel.: +49-521-106-5279 Received: 22 September 2017; Accepted: 28 October 2017; Published: date Abstract: Visual methods have many applications in mobile robotics problems, such as localization, navigation, and mapping. Some methods require that the robot moves in a plane without tilting. This planar-motion assumption simplifies the problem, and can lead to improved results. However, tilting the robot violates this assumption, and may cause planar-motion methods to fail. Such a tilt should therefore be corrected. In this work, we estimate a robot’s tilt relative to a ground plane from individual panoramic images. This estimate is based on the vanishing point of vertical elements, which commonly occur in indoor environments. We test the quality of two methods on images from several environments: An image-space method exploits several approximations to detect the vanishing point in a panoramic fisheye image. The vector-consensus method uses a calibrated camera model to solve the tilt-estimation problem in 3D space. In addition, we measure the time required on desktop and embedded systems. We previously studied visual pose-estimation for a domestic robot, including the effect of tilts. We use these earlier results to establish meaningful standards for the estimation error and time. Overall, we find the methods to be accurate and fast enough for real-time use on embedded systems. However, the tilt-estimation error increases markedly in environments containing relatively few vertical edges. -
Depth-Aware Blending of Smoothed Images for Bokeh Effect Generation
1 Depth-aware Blending of Smoothed Images for Bokeh Effect Generation Saikat Duttaa,∗∗ aIndian Institute of Technology Madras, Chennai, PIN-600036, India ABSTRACT Bokeh effect is used in photography to capture images where the closer objects look sharp and every- thing else stays out-of-focus. Bokeh photos are generally captured using Single Lens Reflex cameras using shallow depth-of-field. Most of the modern smartphones can take bokeh images by leveraging dual rear cameras or a good auto-focus hardware. However, for smartphones with single-rear camera without a good auto-focus hardware, we have to rely on software to generate bokeh images. This kind of system is also useful to generate bokeh effect in already captured images. In this paper, an end-to-end deep learning framework is proposed to generate high-quality bokeh effect from images. The original image and different versions of smoothed images are blended to generate Bokeh effect with the help of a monocular depth estimation network. The proposed approach is compared against a saliency detection based baseline and a number of approaches proposed in AIM 2019 Challenge on Bokeh Effect Synthesis. Extensive experiments are shown in order to understand different parts of the proposed algorithm. The network is lightweight and can process an HD image in 0.03 seconds. This approach ranked second in AIM 2019 Bokeh effect challenge-Perceptual Track. 1. Introduction tant problem in Computer Vision and has gained attention re- cently. Most of the existing approaches(Shen et al., 2016; Wad- Depth-of-field effect or Bokeh effect is often used in photog- hwa et al., 2018; Xu et al., 2018) work on human portraits by raphy to generate aesthetic pictures. -
Estimation and Correction of the Distortion in Forensic Image Due to Rotation of the Photo Camera
Master Thesis Electrical Engineering February 2018 Master Thesis Electrical Engineering with emphasis on Signal Processing February 2018 Estimation and Correction of the Distortion in Forensic Image due to Rotation of the Photo Camera Sathwika Bavikadi Venkata Bharath Botta Department of Applied Signal Processing Blekinge Institute of Technology SE–371 79 Karlskrona, Sweden This thesis is submitted to the Department of Applied Signal Processing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering with Emphasis on Signal Processing. Contact Information: Author(s): Sathwika Bavikadi E-mail: [email protected] Venkata Bharath Botta E-mail: [email protected] Supervisor: Irina Gertsovich University Examiner: Dr. Sven Johansson Department of Applied Signal Processing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE–371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 Abstract Images, unlike text, represent an effective and natural communica- tion media for humans, due to their immediacy and the easy way to understand the image content. Shape recognition and pattern recog- nition are one of the most important tasks in the image processing. Crime scene photographs should always be in focus and there should be always be a ruler be present, this will allow the investigators the ability to resize the image to accurately reconstruct the scene. There- fore, the camera must be on a grounded platform such as tripod. Due to the rotation of the camera around the camera center there exist the distortion in the image which must be minimized. -
DEPTH of FIELD CHEAT SHEET What Is Depth of Field? the Depth of Field (DOF) Is the Area of a Scene That Appears Sharp in the Image
Ms. Brown Photography One DEPTH OF FIELD CHEAT SHEET What is Depth of Field? The depth of field (DOF) is the area of a scene that appears sharp in the image. DOF refers to the zone of focus in a photograph or the distance between the closest and furthest parts of the picture that are reasonably sharp. Depth of field is determined by three main attributes: 1) The APERTURE (size of the opening) 2) The SHUTTER SPEED (time of the exposure) 3) DISTANCE from the subject being photographed 4) SHALLOW and GREAT Depth of Field Explained Shallow Depth of Field: In shallow depth of field, the main subject is emphasized by making all other elements out of focus. (Foreground or background is purposely blurry) Aperture: The larger the aperture, the shallower the depth of field. Distance: The closer you are to the subject matter, the shallower the depth of field. ***You cannot achieve shallow depth of field with excessive bright light. This means no bright sunlight pictures for shallow depth of field because you can’t open the aperture wide enough in bright light.*** SHALLOW DOF STEPS: 1. Set your camera to a small f/stop number such as f/2-f/5.6. 2. GET CLOSE to your subject (between 2-5 feet away). 3. Don’t put the subject too close to its background; the farther away the subject is from its background the better. 4. Set your camera for the correct exposure by adjusting only the shutter speed (aperture is already set). 5. Find the best composition, focus the lens of your camera and take your picture. -
Video Tripod Head
thank you for choosing magnus. One (1) year limited warranty Congratulations on your purchase of the VPH-20 This MAGNUS product is warranted to the original purchaser Video Pan Head by Magnus. to be free from defects in materials and workmanship All Magnus Video Heads are designed to balance under normal consumer use for a period of one (1) year features professionals want with the affordability they from the original purchase date or thirty (30) days after need. They’re durable enough to provide many years replacement, whichever occurs later. The warranty provider’s of trouble-free service and enjoyment. Please carefully responsibility with respect to this limited warranty shall be read these instructions before setting up and using limited solely to repair or replacement, at the provider’s your Video Pan Head. discretion, of any product that fails during normal use of this product in its intended manner and in its intended VPH-20 Box Contents environment. Inoperability of the product or part(s) shall be determined by the warranty provider. If the product has • VPH-20 Video Pan Head Owner’s been discontinued, the warranty provider reserves the right • 3/8” and ¼”-20 reducing bushing to replace it with a model of equivalent quality and function. manual This warranty does not cover damage or defect caused by misuse, • Quick-release plate neglect, accident, alteration, abuse, improper installation or maintenance. EXCEPT AS PROVIDED HEREIN, THE WARRANTY Key Features PROVIDER MAKES NEITHER ANY EXPRESS WARRANTIES NOR ANY IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED Tilt-Tension Adjustment Knob TO ANY IMPLIED WARRANTY OF MERCHANTABILITY Tilt Lock OR FITNESS FOR A PARTICULAR PURPOSE. -
Colour Relationships Using Traditional, Analogue and Digital Technology
Colour Relationships Using Traditional, Analogue and Digital Technology Peter Burke Skills Victoria (TAFE)/Italy (Veneto) ISS Institute Fellowship Fellowship funded by Skills Victoria, Department of Innovation, Industry and Regional Development, Victorian Government ISS Institute Inc MAY 2011 © ISS Institute T 03 9347 4583 Level 1 F 03 9348 1474 189 Faraday Street [email protected] Carlton Vic E AUSTRALIA 3053 W www.issinstitute.org.au Published by International Specialised Skills Institute, Melbourne Extract published on www.issinstitute.org.au © Copyright ISS Institute May 2011 This publication is copyright. No part may be reproduced by any process except in accordance with the provisions of the Copyright Act 1968. Whilst this report has been accepted by ISS Institute, ISS Institute cannot provide expert peer review of the report, and except as may be required by law no responsibility can be accepted by ISS Institute for the content of the report or any links therein, or omissions, typographical, print or photographic errors, or inaccuracies that may occur after publication or otherwise. ISS Institute do not accept responsibility for the consequences of any action taken or omitted to be taken by any person as a consequence of anything contained in, or omitted from, this report. Executive Summary This Fellowship study explored the use of analogue and digital technologies to create colour surfaces and sound experiences. The research focused on art and design activities that combine traditional analogue techniques (such as drawing or painting) with print and electronic media (from simple LED lighting to large-scale video projections on buildings). The Fellow’s rich and varied self-directed research was centred in Venice, Italy, with visits to France, Sweden, Scotland and the Netherlands to attend large public events such as the Biennale de Venezia and the Edinburgh Festival, and more intimate moments where one-on-one interviews were conducted with renown artists in their studios. -
The General Idea Behind Editing in Narrative Film Is the Coordination of One Shot with Another in Order to Create a Coherent, Artistically Pleasing, Meaningful Whole
Chapter 4: Editing Film 125: The Textbook © Lynne Lerych The general idea behind editing in narrative film is the coordination of one shot with another in order to create a coherent, artistically pleasing, meaningful whole. The system of editing employed in narrative film is called continuity editing – its purpose is to create and provide efficient, functional transitions. Sounds simple enough, right?1 Yeah, no. It’s not really that simple. These three desired qualities of narrative film editing – coherence, artistry, and meaning – are not easy to achieve, especially when you consider what the film editor begins with. The typical shooting phase of a typical two-hour narrative feature film lasts about eight weeks. During that time, the cinematography team may record anywhere from 20 or 30 hours of film on the relatively low end – up to the 240 hours of film that James Cameron and his cinematographer, Russell Carpenter, shot for Titanic – which eventually weighed in at 3 hours and 14 minutes by the time it reached theatres. Most filmmakers will shoot somewhere in between these extremes. No matter how you look at it, though, the editor knows from the outset that in all likelihood less than ten percent of the film shot will make its way into the final product. As if the sheer weight of the available footage weren’t enough, there is the reality that most scenes in feature films are shot out of sequence – in other words, they are typically shot in neither the chronological order of the story nor the temporal order of the film. -
Depth of Field PDF Only
Depth of Field for Digital Images Robin D. Myers Better Light, Inc. In the days before digital images, before the advent of roll film, photography was accomplished with photosensitive emulsions spread on glass plates. After processing and drying the glass negative, it was contact printed onto photosensitive paper to produce the final print. The size of the final print was the same size as the negative. During this period some of the foundational work into the science of photography was performed. One of the concepts developed was the circle of confusion. Contact prints are usually small enough that they are normally viewed at a distance of approximately 250 millimeters (about 10 inches). At this distance the human eye can resolve a detail that occupies an angle of about 1 arc minute. The eye cannot see a difference between a blurred circle and a sharp edged circle that just fills this small angle at this viewing distance. The diameter of this circle is called the circle of confusion. Converting the diameter of this circle into a size measurement, we get about 0.1 millimeters. If we assume a standard print size of 8 by 10 inches (about 200 mm by 250 mm) and divide this by the circle of confusion then an 8x10 print would represent about 2000x2500 smallest discernible points. If these points are equated to their equivalence in digital pixels, then the resolution of a 8x10 print would be about 2000x2500 pixels or about 250 pixels per inch (100 pixels per centimeter). The circle of confusion used for 4x5 film has traditionally been that of a contact print viewed at the standard 250 mm viewing distance. -
Dof 4.0 – a Depth of Field Calculator
DoF 4.0 – A Depth of Field Calculator Last updated: 8-Mar-2021 Introduction When you focus a camera lens at some distance and take a photograph, the further subjects are from the focus point, the blurrier they look. Depth of field is the range of subject distances that are acceptably sharp. It varies with aperture and focal length, distance at which the lens is focused, and the circle of confusion – a measure of how much blurring is acceptable in a sharp image. The tricky part is defining what acceptable means. Sharpness is not an inherent quality as it depends heavily on the magnification at which an image is viewed. When viewed from the same distance, a smaller version of the same image will look sharper than a larger one. Similarly, an image that looks sharp as a 4x6" print may look decidedly less so at 16x20". All other things being equal, the range of in-focus distances increases with shorter lens focal lengths, smaller apertures, the farther away you focus, and the larger the circle of confusion. Conversely, longer lenses, wider apertures, closer focus, and a smaller circle of confusion make for a narrower depth of field. Sometimes focus blur is undesirable, and sometimes it’s an intentional creative choice. Either way, you need to understand depth of field to achieve predictable results. What is DoF? DoF is an advanced depth of field calculator available for both Windows and Android. What DoF Does Even if your camera has a depth of field preview button, the viewfinder image is just too small to judge critical sharpness. -
Surface Tilt (The Direction of Slant): a Neglected Psychophysical Variable
Perception & Psychophysics 1983,33 (3),241-250 Surface tilt (the direction of slant): A neglected psychophysical variable KENT A. STEVENS Massachusetts InstituteofTechnology, Cambridge, Massachusetts Surface slant (the angle between the line of sight and the surface normal) is an important psy chophysical variable. However, slant angle captures only one of the two degrees of freedom of surface orientation, the other being the direction of slant. Slant direction, measured in the image plane, coincides with the direction of the gradient of distance from viewer to surface and, equivalently, with the direction the surface normal would point if projected onto the image plane. Since slant direction may be quantified by the tilt of the projected normal (which ranges over 360 deg in the frontal plane), it is referred to here as surfacetilt. (Note that slant angle is mea sured perpendicular to the image plane, whereas tilt angle is measured in the image plane.) Com pared with slant angle's popularity as a psychophysical variable, the attention paid to surface tilt seems undeservedly scant. Experiments that demonstrate a technique for measuring ap parent surface tilt are reported. The experimental stimuli were oblique crosses and parallelo grams, which suggest oriented planes in SoD. The apparent tilt of the plane might beprobed by orienting a needle in SoD so as to appear normal, projecting the normal onto the image plane, and measuring its direction (e.g., relative to the horizontal). It is shown to be preferable, how ever, to merely rotate a line segment in 2-D, superimposed on the display, until it appears nor mal to the perceived surface.