In this paper, a novel data scaling method for pipelined FFT processors is proposed. By using data scaling, the'FFT processor can operateon a wide range of input signals with...
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the p...
Bill Triggs, Philip F. McLauchlan, Richard I. Hart...
Abstract Set boolean operations between 2-dlmensional geometric objects are crucial in computational geometry and deserve rigorous treatments. We build up a simple and convergent s...
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...