Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …

Stereo matching, a key element towards extracting depth information from stereo images, is
widely used in several embedded consumer electronic and multimedia systems. Such …

Robust measurement of molten pool in wire and arc additive manufacturing can help better
understand the geometrical size of fabricated parts and even offer feedback to control this …

Stereo matching is a vital task in several emerging embedded vision applications requiring
high-quality depth computation and real-time frame-rate. Although several stereo matching …

This paper describes a novel heterogeneous SoC FPGA-based embedded system for stereo
vision. Two complete implementations are presented and characterized. In both designs the …

Robust measurement of layer geometry can help better understand the complex deposition
process and provide feedback control to increase process stability of wire and arc additive …

Stereo matching is one of the most used algorithms in real-time image processing
applications such as positioning systems for mobile robots, three-dimensional building …

Stereo matching is one of the most widely used algorithms in real-time image processing
applications such as positioning systems for mobile robots, three-dimensional building …

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 vision is one of the most crucial operations in many computer vision applications, and
stereo matching is its most important step. In recent years, stereo matching has developed in …