The Alignment Of Objects With Smooth Surfaces

Abstract : This paper examines the recognition of rigid objects bounded by smooth surfaces, using an alignment approach. The projected image of such an object changes during rotation in a manner that is generally difficult to predict. An approach to this problem is suggested, using the 3-D surface curvature at the points along the silhouette. The curvature information requires a single number for each point along the object's silhouette, the magnitude of the curvature vector at the point. We have implemented this method, and tested it on images of complex 3-D objects. Models of the viewed objects were acquired using three images of each object. The implemented scheme was found to give accurate predictions of the objects' appearance for large transformations. Using this method, a small number of (viewer-centered) models can be used to predict the new appearance of an object from any given viewpoint. (JHD)

[1]  H. Baker,et al.  Three-Dimensional Modeling , 2019, IJCAI.

[2]  D. Marr,et al.  Representation and recognition of the spatial organization of three-dimensional shapes , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[3]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[4]  Christopher M. Brown,et al.  Some Mathematical and Representational Aspects of Solid Modeling , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  J. Koenderink,et al.  The Shape of Smooth Objects and the Way Contours End , 1982, Perception.

[6]  C. Dane An object-centered three-dimensional model builder , 1982 .

[7]  J. Canny Finding Edges and Lines in Images , 1983 .

[8]  Jean Ponce,et al.  Describing surfaces , 1985, Comput. Vis. Graph. Image Process..

[9]  A. J. Mistlin,et al.  Visual cells in the temporal cortex sensitive to face view and gaze direction , 1985, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[10]  M. Hebert,et al.  The Representation, Recognition, and Locating of 3-D Objects , 1986 .

[11]  Shimon Ullman,et al.  An Approach to Object Recognition: Aligning Pictorial Descriptions , 1986 .

[12]  D. W. Thompson,et al.  Three-dimensional model matching from an unconstrained viewpoint , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[13]  J. K. Aggarwal,et al.  SHAPE RECOGNITION FROM SINGLE SILHOUETTES. , 1987 .