Stereo correspondence matching is a key problem in many applications like computer and
robotic vision to determine Three-Dimensional (3D) depth information of objects which is …

This article presents a new method to determine disparity map useful for three-dimensional
(3D) scene reconstruction. The main task behind the computation of disparity map is stereo …

This paper proposes a single camera based stereo vision system to determine disparity map
and the distance of the object from the camera system. The proposed system uses two …

Stereo matching has gained the popularity in computer vision and image processing. The
objective of stereo correspondence matching is to obtain dense depth information of objects …

This paper introduces a searching algorithm called" spiral searching" for computing stereo
correspondence or disparity of the stereo images. The method is based on computation of …

This paper introduces a new searching method named “Self Adaptive Algorithm (SAA)” for
computing stereo correspondence or disparity of stereo image. The key idea of this method …

This paper presents a new searching algorithm titled “Two Dimensional Real Time Spiral
Search Algorithm (2DRTSSA)” to compute the stereo correspondence or dense disparity …

This paper presents an algorithm using fuzzy logic for computing disparity or stereo
correspondence of the image sequences. For better achievements, reverse fuzzyfication …