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...
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
Statistical models of shape and appearance have been successfully used in face modeling, tracking and synthesis. In this paper we describe experiments using appearance models for ...
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
Abstract. This paper investigates the communication system of honeybees with the purpose of obtaining an intelligent approach for threedimensional reconstruction. A new framework i...