An often overlooked problem in matching lies in selecting an appropriate step size. The selection of the step size for real-time applications is critical both from the point of vi...
Nathan Mekuz, Konstantinos G. Derpanis, John K. Ts...
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
This paper presents a novel method for the removal of unwanted image intensity due to occluding objects far from the plane of focus. Such occlusions may arise in scenes with large...
Kaleem Siddiqi, Michael S. Langer, Scott McCloskey
Geometric methods are very intuitive and provide a theoretically solid viewpoint to many optimization problems. SVM is a typical optimization task that has attracted a lot of atte...
Michael E. Mavroforakis, Margaritis Sdralis, Sergi...
Shape warping is a key problem in statistical shape analysis. This paper proposes a framework for geometric shape warping based on both shape distances and landmarks. Our method i...
Olivier D. Faugeras, Pierre Maurel, Renaud Keriven
A directional spatial relationship to a reference object (e.g., "east of the post office") can be represented by a spatial template. The template partitions the space in...
Natural scene images coming usually from lowresolution sensors in embedded context suffer from low text recognition results. Due to several types of degradations, existing algorit...
A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring vi...
In many situations it is convenient to represent pictorial data in the form of contours. It may become necessary to compress such contour data for efficient storage and transmissi...