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RECHNER
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A Survey of Motion Analysis from Moving Light Displays
Analysis of Shape from Shading Techniques
Height Recovery from Intensity Gradient
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
Using Algebraic Functions of Views for Indexing-Based Object Recognition
Recognizing Human Actions in a Static Room
Human Tracking in Multiple Cameras
A Framework for Segmentation of Talk and Game Shows
Object Based Segmentation of Video Using Color, Motion and Spatial Information
View-Invariance in Action Recognition
View-Invariant Representation and Learning of Human Action
View-invariant Alignment and Matching of Video Sequences
Two-Frame Wide Baseline Matching
Tracking across Multiple Cameras with Disjoint Views
A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence
Scene Detection in Hollywood Movies and TV Shows
Motion Layer Extraction in the Presence of Occlusion Using Graph Cut
Integrating and Employing Multiple Levels of Zoom for Activity Recognition
A General Framework for Temporal Video Scene Segmentation
Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras