'Brightness constancy' presentation slideshows

Motion estimation

Motion estimation. Parametric motion (image alignment) Tracking Optical flow. Tracking. Three assumptions. Brightness consistency Spatial coherence Temporal persistence. Brightness consistency.

1.19k views • 93 slides

Motion estimation

Motion estimation. Parametric motion (image alignment) Tracking Optical flow. Tracking. Three assumptions. Brightness consistency Spatial coherence Temporal persistence. Brightness consistency.

951 views • 93 slides

Lecture: Motion

Lecture: Motion. Juan Carlos Niebles and Ranjay Krishna Stanford Vision and Learning Lab. What we will learn today?. Optical flow Lucas- Kanade method Horn- Schunk method Pyramids for large motion Common fate Applications. Reading: [ Szeliski ] Chapters: 8.4, 8.5 .

796 views • 79 slides

CSE 185 Introduction to Computer Vision

CSE 185 Introduction to Computer Vision. Feature Matching and Optical Flow. Motion estimation. Feature-tracking Extract visual features (corners, textured areas) and track them over multiple frames Optical flow

685 views • 51 slides

CSE 185 Introduction to Computer Vision

CSE 185 Introduction to Computer Vision. Feature Tracking and Optical Flow. Motion estimation. Feature-tracking Extract visual features (corners, textured areas) and track them over multiple frames Optical flow

517 views • 51 slides

Richard G. Baraniuk Chinmay Hegde Sriram Nagaraj

Go With The Flow A New Manifold Modeling and Learning Framework for Image Ensembles Aswin C. Sankaranarayanan Rice University. Richard G. Baraniuk Chinmay Hegde Sriram Nagaraj. Sensor Data Deluge. Concise Models. large wavelet coefficients (blue = 0). pixels.

624 views • 50 slides

Visual motion

Visual motion. Many slides adapted from S. Seitz, R. Szeliski, M. Pollefeys. Motion and perceptual organization. Sometimes, motion is the only cue. Motion and perceptual organization. Sometimes, motion is the only cue. Motion and perceptual organization.

512 views • 39 slides

Learning the Appearance and Motion of People in Video

Learning the Appearance and Motion of People in Video. Hedvig Sidenbladh, KTH hedvig@nada.kth.se, www.nada.kth.se/~hedvig/ Michael Black, Brown University black@cs.brown.edu, www.cs.brown.edu/people/black/. Collaborators.

485 views • 38 slides

Motion

Motion. Optical flow. Measurement of motion at every pixel. Problem definition: optical flow. Key assumptions color constancy : a point in H looks the same in I For grayscale images, this is brightness constancy small motion : points do not move very far

561 views • 37 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

379 views • 28 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

368 views • 28 slides

Perceptual Constancy

Perceptual Constancy. Module 19. Perceptual Constancy. Just because an object seems to change we still view it as stable/constant or unchanging. having consistent lightness, color, shape, and size even as illumination and images on our retina change

534 views • 27 slides

Psychological perspectives

458 views • 26 slides

Sensory Adaptation

Sensory Adaptation. Our diminishing sensitivity to an unchanged stimulus Do you feel your underwear all day? Do you feel your shoes all day?. Perception. The process of organizing and interpreting information, enabling us to recognize meaningful objects and events.

1.33k views • 26 slides

Calculating Optical Flow

Calculating Optical Flow. Ko Daewon July 31, 2013. Contents. Motion fields and Optical flow What is Optical flow? Brightness Constancy Optical Flow Constraint Equation Aperture problem A Global Method: Horn- Schunck`s Method. 1. Motion Fields and Optical Flow.

588 views • 17 slides

Universal Principles of Design Constancy

Universal Principles of Design Constancy. Size Constancy. Brightness Constancy. Shape Constancy. Loudness Constancy.

253 views • 6 slides