Many well-known existing image matching methods are based on local texture analysis, and consequently have difficulty handling low-textured 3D objects, such as those man-made buil...
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem ar...
In this paper, we propose a joint source-channel (JSC) decoding scheme for 3D ESCOT-based video coders, such as Vidwav. The embedded bitstream generated by such coders is very sen...
Manel Abid, Michel Kieffer, Marco Cagnazzo, B&eacu...
This paper proposes a statistical rejection rule, designed for small baseline stereo satellites. The method learns an a contrario model for image blocks and discards the casual ma...
Non-rigid image registration plays an important role in medical image analysis. Recently, Tang and Chung proposed to model the non-rigid medical image registration problem as an e...
Although kernel-based methods have been demonstrated effectively in solving single-target tracking problem, facing more complicated multi-target tracking task, most of them still ...
We introduce two approaches to improve an existing color segmentation technique based on a Split and Merge quantization process for the study of stained histological images. We pr...
In this paper, we present a new low-complexity no-reference metric that assesses the visibility of blocking artifacts in DCT-coded images. The metric works in the spatial domain a...
In this paper, we present 2-D direction-adaptive transforms for coding prediction residuals of video. These Direction-Adaptive Residual Transforms (DART) are shown to be more effe...
Robert A. Cohen, Sven Klomp, Anthony Vetro, Huifan...