One-Dimensional Regularization with Discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interpretation of Image Flow: A Spatio-Temporal Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Field and Optical Flow: Qualitative Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Flow with an Intensity-Weighted Smoothing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Flow Segmentation and Estimation by Constraint Line Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
On a Constraint Equation for the Estimation of Displacement Rates in Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Tracking Strategy for Monocular Depth Inference over Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Two Perspective Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Recovery of Motion and Shape in the General Case by Fixation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Three-Frame Algorithm for Estimating Two-Component Image Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Displacements from Two 3-D Frames Obtained From Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
The Intrinsic Structure of Optic Flow Incorporating Measurement Duality
International Journal of Computer Vision
Exploiting Discontinuities in Optical Flow
International Journal of Computer Vision
International Journal of Computer Vision
Estimation of 2D displacement field based on affine geometric invariance and scene constraints
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Accuracy of the Computation of Optical Flow and of the Recovery of Motion Parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Poisson Solvers and Semi-Direct Methods for Computing Area Based Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation and Self-Similarity of Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
MRF-MAP-MFT visual object segmentation based on motion boundary field
Pattern Recognition Letters
The scope of motion research: from image intensity changes to semantic abstractions
ACM SIGGRAPH Computer Graphics
A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analog Integrated 2-D Optical Flow Sensor
Analog Integrated Circuits and Signal Processing
2D-Shape Analysis Using Conformal Mapping
International Journal of Computer Vision
On robustness and localization accuracy of optical flow computation for underwater color images
Computer Vision and Image Understanding
Analysis of Two-Dimensional Non-Rigid Shapes
International Journal of Computer Vision
Neural Computation
Determining 3-D motion of planar objects from image brightness patterns
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Direct evidence for occlusion in stereo and motion
Image and Vision Computing
Incremental estimation of image flow using a Kalman filter
Journal of Visual Communication and Image Representation
2D-shape analysis using conformal mapping
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Image segmentation cues in motion processing: Implications for modularity in vision
Journal of Cognitive Neuroscience
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From the Publisher:Computer scientists designing machine vision systems, psychologists working in visual perception, visual neurophysiologists, and theoretical biologists will derive a deeper understanding of visual function - in particular the computations that the human visual system uses to analyze motion-from the important research reported in this book. The organization of movement in the changing image that reaches the eye provides our visual system with a valuable source of information for analyzing the structure of our surroundings. This book examines the measurement of this movement and the use of relative movement to locate the boundaries of physical objects in the environment. It investigates the nature of the computations that are necessary to perform this analysis by any vision system, biological or artificial. The author first defines the goals of these visual tasks, reveals the properties of the physical world that a vision system can rely upon to achieve such goals, and suggests general methods that can be used to carry out the tasks. From the general methods, she designs algorithms specifying a particular sequence of computations that a vision system can execute to perform these visual tasks. These algorithms are implemented on a computer system under a variety of circumstances. Combined with the traditional approaches of psychology and neurophysiology, this computational approach provides an exciting analysis of visual function, raising many new questions about the human vision system for further investigation. Ellen Catherine Hildreth received her doctorate from MIT. She is a Research Scientist in the MIT Artificial Intelligence Laboratory and associate director of theCenter for Biological Information Processing at the Whitaker College of Health Sciences, Technology, and Management. The Measurement of Visual Motion is an ACM Distinguished Dissertation.