One of the most difficult issues in visual tracking is to track people in groups, especially under occlusions. In this paper, we present a novel sample consensus based method, whi...
This paper addresses the problem of camera calibration from spheres. By studying the relationship between the dual images of spheres and that of the absolute conic, a linear solut...
We propose a dynamic programming algorithm for finding optimal transmission policies for a single packet in ratedistortion optimized media streaming. The algorithm relies on an op...
Distributed source coding (DSC) depends strongly on accurate knowledge of correlation between sources. Previous works have reported capacity-approaching code constructions when ex...
In this paper we propose an efficient data embedding algorithm for palette-based images by quantising similar colours in the palette. Unlike previous algorithms, this method'...
In this work, a new type of watershed transform is introduced: the Tie-Zone WaterShed (TZWS). This region-based watershed transform does not depend on arbitrary implementation and...
Romaric Audigier, Roberto de Alencar Lotufo, Miche...
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
While 3D seismic data become widespread and the data-sets get larger, the demand for automation to speed up the seismic interpretation process is increasing as well. However, the d...
This paper presents a novel Mod-4 steganographic method in discrete cosine transform (DCT) domain. A group of 2?2 quantized DCT coefficients (GQC) is selected as the valid embeddi...
This paper describes an approach for detecting objects in front of an automobile using wide field of view stereo with a pair of omni cameras. Several configurations are suggested ...