This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
A novel approach to pattern matching is presented, which reduces time complexity by two orders of magnitude compared to traditional approaches. The suggested approach uses an effi...
This paper presents an approach to build high resolution digital elevation maps from a sequence of unregistered low altitude stereovision image pairs. The approach first uses a vi...
Recently, various technologies have become available for scanning real-world objects, enabling rapid and accurate shape acquisition. In most cases, such solutions have high cost, ...
This article presents a system that can recover and track the 3D speech movements of a speaker’s face for each image of a monocular sequence. A speaker-specific face model is u...