Depth Perception & 3D Vision

Mar 03, 2014

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Depth Perception & 3D Vision. Reza Rajimehr. 3-D Perception: Inferential leap from image to environment. Inverse Problem: depth ambiguity. No inverse problem with 3-D retina. Reducing the problem. Perceiving distance. Depth Surface orientation: Slant and Tilt. Perceiving 3-D objects.

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absolute depth cue
david marr x modules
filter glasses
surface opacity
visual system

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Depth Perception & 3D Vision

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Depth Perception

Depth Perception. The ability to locate objects in a three - dimensional world. Learning Depth Perception. Blind cats! Visual Cliff. Relative Size. The smaller of two objects appears to be farther away. Relative Size & Clearness. Relative Clearness.

664 views • 34 slides

Depth Perception and Visualization

Depth Perception and Visualization. Matt Williams. From: http://www.cs.washington.edu/homes/cassidy/tele/index.html. Depth Perception and Visualization. References and borrowed images:

1.12k views • 37 slides

Depth and Size Perception

Depth and Size Perception. Human Depth Perception. Cue Theory – brain learns to identify info. in retinal image that is correlated with depth oculomotor cues pictorial cues movement-produced cues binocular disparity cues. Oculomotor Cues: Accommodation.

1.14k views • 32 slides

3D Vision

3D Vision. CSC 59866CD Fall 2004. Lecture 14 Stereo Vision (I). Zhigang Zhu, NAC 8/203A http://www-cs.engr.ccny.cuny.edu/~zhu/ Capstone2004/Capstone_Sequence2004.html. Stereo Vision. Problem Infer 3D structure of a scene from two or more images taken from different viewpoints

658 views • 35 slides

3D Vision

3D Vision. CSc I6716 Fall 2007. Topic 3 of Part II Calibration. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Lecture Outline. Calibration: Find the intrinsic and extrinsic parameters Problem and assumptions Direct parameter estimation approach Projection matrix approach

528 views • 38 slides

3D Vision

3D Vision. CSC I6716 Fall 2009. Topic 1 of Part II Camera Models. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. 3D Vision. Closely Related Disciplines Image Processing – images to mages Computer Graphics – models to images Computer Vision – images to models

665 views • 48 slides

3D Space Perception (aka Depth Perception)

3D Space Perception (aka Depth Perception). 3D Space Perception. The flat retinal image problem : How do we reconstruct 3D-space from 2D image? What information is available to support this process? Interaction between Perceived Size and Perceived Distance (both depend upon “scaling”).

963 views • 39 slides

3D Vision

15.03.2013. 3D Vision. Robert Sablatnig Tutoren: Manuel Keglevic , Fabian Hollaus. Lecture Schedule. 3D scanning [April 8 th – April 19 th ] Tutorium Pac-Man Room [HEEG04] Thursday [ 14:00 – 16:00 ] Friday [ 12:00 – 14:00 ] Deadlines Final Model after presentation

266 views • 11 slides

3D Vision

3D Vision. CSC I6716 Spring 2004. Topic 7 of Part 2 Stereo Vision (I). Zhigang Zhu, NAC 8/203A http://www-cs.engr.ccny.cuny.edu/~zhu/VisionCourse-2004.html. Stereo Vision. Problem Infer 3D structure of a scene from two or more images taken from different viewpoints

572 views • 35 slides

3D Vision

3D Vision. CSC I6716 Spring 2004. Topic 7 of Part 2 Stereo Vision (II). Zhigang Zhu, NAC 8/203A http://www-cs.engr.ccny.cuny.edu/~zhu/VisionCourse-2004.html. Stereo Vision. Epipolar Geometry Where to search correspondences Epipolar plane, epipolar lines and epipoles

524 views • 38 slides

3D Vision

3D Vision. CSc I6716 Fall 2009. Topic 4 of Part II Visual Motion. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Cover Image/video credits: Rick Szeliski, MSR. Outline of Motion . Problems and Applications The importance of visual motion Problem Statement

450 views • 29 slides

3D Vision

3D Vision. CSc I6716 Fall 2011. Topic 4 of Part II Visual Motion. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Cover Image/video credits: Rick Szeliski, MSR. Outline of Motion . Problems and Applications The importance of visual motion Problem Statement

397 views • 28 slides

3D Vision

3D Vision. CSc I6716 Spring 2011. Topic 3 of Part II Stereo Vision. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Stereo Vision. Problem Infer 3D structure of a scene from two or more images taken from different viewpoints Two primary Sub-problems

839 views • 60 slides

DEPTH AND SIZE PERCEPTION

DEPTH AND SIZE PERCEPTION. Problems for Perceiving Depth and Size Oculomotor Cues Monocular Cues Binocular Disparity Size Constancy. Problems for Depth and Size Perception. The proximal stimulus is 2d, but the distal stimulus is 3d Size of the image is dependent on distance.

531 views • 14 slides

3D Vision

3D Vision. CSC I6716 Spring2013. Topic 1 of Part II Camera Models. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. 3D Vision. Closely Related Disciplines Image Processing – images to mages Computer Graphics – models to images Computer Vision – images to models

724 views • 47 slides

3D Vision

3D Vision. CSc I6716 Fall 2013. Topic 4 of Part II Visual Motion. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Cover Image/video credits: Rick Szeliski, MSR. Outline of Motion . Problems and Applications The importance of visual motion Problem Statement

378 views • 28 slides

3D Vision

3D Vision. CSc I6716 Spring2011. Topic 2 of Part II Calibration. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Lecture Outline. Calibration: Find the intrinsic and extrinsic parameters Problem and assumptions Direct parameter estimation approach Projection matrix approach

512 views • 39 slides

3D Vision

3D Vision. CSc I6716 Fall 2010. Topic 2 of Part II Calibration. Zhigang Zhu, City College of New York zhu@cs.ccny.cuny.edu. Lecture Outline. Calibration: Find the intrinsic and extrinsic parameters Problem and assumptions Direct parameter estimation approach Projection matrix approach

565 views • 42 slides

CUES TO DEPTH PERCEPTION

CUES TO DEPTH PERCEPTION. Binocular cues Monocular cues. BINOCULAR CUES. Valuable only when object is close. Each eye has a slightly different view. MONOCULAR CUES. Object seen as one picture. Are derived from experience. GEOMETRIC PERSPECTIVES. Vertical position in the field.

999 views • 38 slides

3D Vision

3D Vision. Lecture 6 Stereo Vision. Stereo Vision. Main Points. Stereo allows depth by triangulation Two parts: Finding corresponding points. Computing depth (easy part). Constraints: Geometry, epipolar constraint. Photometric: Brightness constancy, only partly true.

643 views • 42 slides

Depth Perception, with Emphasis on Stereoscopic Vision

Depth Perception, with Emphasis on Stereoscopic Vision. Randolph Blake Visual System, Spring Semester March 24, 2003. Chapter 10 in McIlwain and Chapter 11 in Tovee. http://www.psy.vanderbilt.edu/faculty/blake/StereoStuff/Stereopsis.htm. Specifying 3D shape and depth relations. • motion.

714 views • 41 slides

3D Vision

3D Vision. CSC I6716 Spring 2004. Topic 5 of Part 2 Camera Models. Zhigang Zhu, NAC 8/203A http://www-cs.engr.ccny.cuny.edu/~zhu/VisionCourse-2004.html. 3D Vision. Closely Related Disciplines Image processing – image to mage Pattern recognition – image to classes

624 views • 50 slides

More Related

Depth Perception &amp; 3D Vision

Depth Perception &amp; 3D Vision

Presentation Transcript

Depth Perception

Depth Perception and Visualization

Depth and Size Perception

3D Vision

3D Vision

3D Vision

3D Space Perception (aka Depth Perception)

3D Vision

3D Vision

3D Vision

3D Vision

3D Vision

3D Vision

DEPTH AND SIZE PERCEPTION

3D Vision

3D Vision

3D Vision

3D Vision

CUES TO DEPTH PERCEPTION

3D Vision

Depth Perception, with Emphasis on Stereoscopic Vision

3D Vision

Depth Perception & 3D Vision

Depth Perception & 3D Vision