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» Randomness and Geometric Features in Computer Vision
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Book
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15 years 6 months ago
Computer Vision: Algorithms and Applications
A DRAFT computer vision book by Prof. Richard Szeliski. The book reflects the author's wide experience in practical computer vision algorithms that he has developed while work...
Richard Szeliski
ICPR
2000
IEEE
14 years 8 months ago
Using Geometric Constraints for Matching Disparate Stereo Views of 3D Scenes Containing Planes
Several vision tasks rely upon the availability of sets of corresponding features among images. This paper presents a method which, given some corresponding features in two stereo...
Manolis I. A. Lourakis, Stavros V. Tzurbakis, Anto...
ICCVW
1999
Springer
13 years 11 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson
VLSM
2005
Springer
14 years 28 days ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
CVPR
1997
IEEE
13 years 11 months ago
Feature Tracking from an Image Sequence Using Geometric Invariants
In this paper two new feature tracking algorithms are proposed. In the first algorithm, a perspective camera model is used. Making use of the projective inuariant of Barrett, and ...
Hung-Tat Tsui, Zhong-Ying Zhang, Shao-Hua Kong