Stereo vision finds a wide range of applications in automotive, object detection, robot
navigation, agriculture mapping, and others. Stereo matching is a stereo algorithm targeted …

Stereo matching obtains a depth map called a disparity map that indicates or shows the
positions of the objects in a scene. To estimate a disparity map, the most popular trend …

Stereo matching is a key step in stereo vision systems that require high accurate depth
information and real-time processing of high definition image streams. This work presents a …

In recent years, it is possible to observe an increased interest in methods of stereo-vision as
they allow simple 3D representations of the scene acquired with two optical cameras …

Stereo vision is an emerging technique requiring high quality depth computation in variety of
applications in embedded and real-time systems. This system proposes implementation of …

This paper presents post-processing algorithms which work on a commercial FPGA for high
quality stereo vision results. Specially, in this paper we focus the description of algorithms …

This paper presents a novel hardware architecture using FPGA-based reconfigurable
computing (RC) for accurate calculation of dense disparity maps in real-time, stereo-vision …

A real-time trinocular stereo vision processor is proposed which combines a window
matching architecture with a classification architecture. A pair wise segmented window …

This paper proposes a 1-dimensional implementation of area-based stereo matching with
minimal resource utilization. It achieves an acceptable disparity map without the use of …

Accurate calculation of a disparity map in real-time is a challenge in computer vision and
autonomous applications due to the expensive computation cost. This paper describes a …