Research in distributed video coding for low complexity encoding has shown that without knowledge of the correlation between source and side information (i.e. the behavior of the ...
Ronald P. Westerlaken, Stefan Borchert, Rene Klein...
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
Vivek Agarwal, Andrei V. Gribok, Andreas Koschan, ...
We propose an algorithm to generate one multi-focus image from a set of images acquired at different focus settings. First images are registered to avoid large misalignments. Each...
Many methods for motion computation and object tracking are based on the Lucas-Kanade (LK) framework [1]. We present a method which substantially speeds up the LK approach while p...
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
Sub-pixel motion compensation plays an important role in compression efficiency within modern video codecs such as MPEG2, MPEG4 and H.264. Sub-pixel motion compensa tion is implem...
We propose an analytic method to overcome the trade-off between the spatial and tonal resolution of traditional clustered dot halftones. Continuous phase modulated halftones that ...
We have focused our interest on the registration of brightfield transmitted light microscopy images with respect to different histological stainings. For this kind of registration...
An innovative extended Kalman filter (EKF) algorithm for pose tracking has been proposed in this paper. It has the advantages of both structure and motion-based (SAM-based) and tr...
Ying Kin Yu, Kin-hong Wong, Michael Ming-Yuen Chan...