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Non-rigid Stereo-motion
(INTECH Open Access Publisher, 2007)
The authors would like to thank the Royal Society European Science Exchange Programme, EPSRC Grant GR/S61539/01 and the Spanish Ministry of Science project TIC2002-00591 for financial support. Enrique Mu?oz, Jose Miguel ...
Continuous Machine Learning in Computer Vision - Tracking with Adaptive Class Models
(INTECH Open Access Publisher, 2007)
This chapter has explored a number of techniques in vision based tracking, with the common theme of continuous relearning of models of the background and the tracked
A Novel Omnidirectional Stereo Vision System with a Single Camera
(INTECH Open Access Publisher, 2007)
Wide field of view is the most attractive feature of the omnidirectional vision. There exist two approaches to omnidirectional stereo imaging with a single camera. They use: (1) a double lobed mirror (Fiala & Basu, ...
Image Processing Techniques for Unsupervised Pattern Classification
(INTECH Open Access Publisher, 2007)
All the clustering methods presented in this chapter tend to generalize bi-dimensional procedures initially developed for image processing purpose. Among them, thresholding, edge detection, probabilistic relaxation, ...
A Sensors System for Indoor Localisation of a Moving Target Based on Infrared Pattern Recognition
(INTECH Open Access Publisher, 2007)
A novel method for the indoor localisation of a target was presented in this chapter. This method is based on measuring the number of the digital infrared patterns received by the target in a specific time interval (success ...
Projective Rectification with Minimal Geometric Distortion
(INTECH Open Access Publisher, 2007)
This chapter presented a new way of parameterizing the homography, which leads to a new approach of projective rectification for stereo images. Compared with the previous works, the novelty of this new algorithm is that ...
A Learning Approach for Adaptive Image Segmentation
(INTECH Open Access Publisher, 2007)
In this chapter, we have proposed a learning approach for three major issues of image segmentation: context adaptation, algorithm selection and parameter tuning according to the image content and the application need. This ...