Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition and localization via pose clustering
Computer Vision, Graphics, and Image Processing
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Pose Determination of a Three-Dimensional Object Using Triangle Pairs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Verification of recognition and alignment hypotheses by means of edge verification statistics
Proceedings of a workshop on Image understanding workshop
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Geometric Hashing: An Overview
IEEE Computational Science & Engineering
A fixed-point EM algorithm for straight line detection
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Hi-index | 0.10 |
We present a new method for model based recognition of articulated objects in cluttered scenes. The objects consist of rigid parts connected by rotary or prismatic joints. Our method is based on an extension of the Generalized Hough Transform paradigm. It is applicable to various viewing transformations. Unlike previous methods no significant degradation is expected in performance for recognition of articulated objects compared with the recognition of rigid objects containing a similar amount of information.