The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
Orientation of 3-D Structures in Medical Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Independent component analysis: theory and applications
Independent component analysis: theory and applications
Registering Multiview Range Data to Create 3D Computer Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Occluding Contour Detection Using the Hausdorff Distance
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Applications of Tensor Theory to Object Recognition and Orientation Determination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
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In this paper, we present a new 3D object normalization technique based on Independent Component Analysis (ICA). Translation and scale are eliminated by first using standard PCA whitening. ICA and the third order moments are then employed for rotation and reflection normalization. The performance of the proposed approach has been tested with range data subjected to noise and other uncertainties. Our method can be used either as a preprocessing for object modelling, or it can directly be used for 3D recognition.