The book covers the fundamental computer vision techniques such as template matching histogram transformations, background subtraction, filtering and reflectance models, edge detec...
Previous research has shown that aggregated predictors improve the performance of non-parametric function approximation techniques. This paper presents the results of applying agg...
Computer vision is presented and discussed under two complementary views. The positivist view provides a formal background under which vision is approached as a problem-solving tas...
Abstract. Computer vision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task...
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...