Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the Layered Depth Image framework. Different from...
Reliable and generic methods for skew detection are a necessity for any large-scale digitization projects. As one of the first processing steps, skew detection and correction has...
Iuliu Vasile Konya, Stefan Eickeler, Christoph Sei...
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
In this paper, we present a method for tracking and retexturing of garments that exploits the entire image information using the optical flow constraint instead of working with di...
Recently, a novel approach to pattern matching was introduced, which reduces time complexity by two orders of magnitude over traditional approaches. It uses an efficient projectio...