Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Multiple Views and Temporal Associations for 3-D object Recognition
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Content-Based Image Retrieval Based on Local Affinely Invariant Regions
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Towards a Computational Model for Object Recognition in IT Cortex
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
A direct method for stereo correspondence based on singular value decomposition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
View-Based Recognition of Faces in Man and Machine: Re-visiting Inter-extra-Ortho
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Towards artificial systems: what can we learn from human perception?
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
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We present an object recognition system which is capable of on-line learning of representations of scenes and objects from natural image sequences. Local appearance features are used in a tracking framework to find 'key-frames' of the input sequence during learning. In addition, the same basic framework is used for both learning and recognition. The system creates sparse representations and shows good recognition performance in a variety of viewing conditions for a database of natural image sequences.