We present a new image morphing approach in which the output sequence is regenerated from small pieces of the two source (input) images. The approach does not require manual corre...
Eli Shechtman, Steve Seitz, Alex Rav-Acha, Michal ...
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
In this work we address boundary detection and boundary grouping. We first pursue a learning-based approach to boundary detection. For this (i) we leverage appearance and context...
The position of a world point’s solar shadow depends on its geographical location, the geometrical relationship between the orientation of the sunshine and the ground plane wher...
We propose a method for estimating demosaicing algorithms from image noise variance. We show that the noise variance in interpolated pixels becomes smaller than that of directly o...
Jun Takamatsu, Yasuyuki Matsushita, Tsukasa Ogasaw...
This paper describes a photometric stereo method that works with a wide range of surface reflectances. Unlike previous approaches that assume simple parametric models such as Lam...
We propose interest seam image, an efficient visual synopsis for video. To extract an interest seam image, a spatiotemporal energy map is constructed for the target video shot. T...
Computer vision has been studied for more than 40 years. Due to the increasingly diverse and rapidly developed topics in vision and the related fields (e.g., machine learning, sign...
Here is a list of computer vision researchers in a tree structure, where the links indicate advisor-advisee (or post-doc) relationship. This is for sure not a comprehensive list of...