A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

Stereo vision, resulting in the knowledge of deep information in a scene, is of great
importance in the field of machine vision, robotics and image analysis. In this article, an …

We present a stereo algorithm that achieves high quality results while maintaining real-time
performance. The key idea is simple: we introduce an adaptive aggregation step in a …

In this paper, we present a belief propagation based global algorithm that generates high
quality results while maintaining real-time performance. To our knowledge, it is the first BP …

In the last decades several cost aggregation methods aimed at improving the robustness of
stereo correspondence within local and global algorithms have been proposed. Given the …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

Highlights•Ambient awareness for agricultural vehicles operating in crop fields.•Safe-driving
in agriculture contexts using multi-sensory perception.•Complementary sensor technologies …

Many vision applications require high-accuracy dense disparity maps in real-time and
online. Due to time constraint, most real-time stereo applications rely on local winner-takes …

In this paper, a stereo vision based pothole detection system is proposed. Using the
disparity map generated from an efficient disparity calculation algorithm, potholes can be …

Stereo vision is an attractive passive sensing technique for obtaining three-dimensional (3-
D) measurements. Recent hardware advances have given rise to a new class of real-time …