Mathematical Foundations for Object Recognition and Image Analysis

摘要

Substantial work was done on the method of deformable templates for object detection, recognition, and interpretation. New measures of deformation were introduced, and these yielded new and more efficient algorithms for template matching. Experiments were carried out for target tracking in radar imagery and for anatomical labeling in a variety of medical imaging applications. A new detection and tracking algorithm was developed. The algorithm uses ideas from classical filtering, but in the context of a nonlinear model and modern computational tools. Experiments were performed on challenging imagery obtained by filming several fish swimming in a large fish tank containing an elaborate array of objects.