We propose an adaptive ltering approach for coding video that exhibits localized camera focus changes, e.g., such that different portions of a video frame can undergo different bl...
PoLin Lai, Yeping Su, Peng Yin, Cristina Gomila, A...
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
This paper presents a new 3-D subband coding framework that is able to achieve a good balance between high compression performance and channel error resilience. Various data transf...
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
In the context of a larger project dealing with kansei analysis of movement, we present a basic method for applying real-time filters to human motion capture data in order to modi...