Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signi...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
In this paper, design and implementation of an interactive open architecture computer vision software package called Ch OpenCV is presented. Benefiting from both Ch and OpenCV, C...
Qingcang Yu, Harry H. Cheng, Wayne W. Cheng, Xiaod...
It is frequently remarked that designers of computer vision algorithms and systems cannot reliably predict how algorithms will respond to new problems. A variety of reasons have b...
Neil A. Thacker, Adrian F. Clark, John L. Barron, ...