HOT Curves for Modelling and Recognition of Smooth Curved 3D Objects.

T. Joshi, J. Ponce, B. Vijayakumar and D. Kriegman.

Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1994.


We represent arbitrary smooth curved 3D shapes by a discrete set of HOT curves where a surface admits High Order Tangents. These curves determine the structure of the image contours and its catastrophic changes, and there is a natural correspondence between some of them and monocular contour features such as inflections and bitangents. We present a method for automatically constructing the HOT curves from continuous sequences of video images and describe an approach to object recognition using viewpoint-dependent monocular image features as indices into a database of models and as a basis for pose estimation. We have implemented both the methods and present results obtained from real images.