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RECHNER
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Viewpoint Invariant Texture Matching and Wide Baseline Stereo
Video Google: A Text Retrieval Approach to Object Matching in Videos
Video Data Mining Using Configurations of Viewpoint Invariant Regions
Using Global Consistency to Recognise Euclidean Objects with an Uncalibrated Camera
Texture Classification: Are Filter Banks Necessary?
Super-Resolution from Multiple Views Using Learnt Image Models
Robust Detection of Degenerate Configurations for the Fundamental Matrix
Robust Computation and Parameterization of Multiple View Relations
Quadric Reconstruction from Dual-Space Geometry
Object Class Recognition by Unsupervised Scale-Invariant Learning
Maintaining Multiple Motion Model Hypotheses Over Many Views to Recover Matching and Structure
Linear Auto-Calibration for Ground Plane Motion
Learning Object Categories from Google's Image Search
Learning Layered Motion Segmentation of Video
Learning Epipolar Geometry from Image Sequences
Joint Manifold Distance: A New Approach to Appearance Based Clustering
Image-Based Rendering Using Image-Based Priors
Identifying Individuals in Video by Combining `Generative' and Discriminative Head Models
Estimating Illumination Direction from Textured Images
Discovering Objects and their Localization in Images
Class-Based Grouping in Perspective Images
Augmenting Images of Non-Rigid Scenes Using Point and Curve Correspondences
Active Visual Navigation Using Non-Metric Structure
A Boundary-Fragment-Model for Object Detection