Computer stereo vision is used extract depth information from two aligned cameras and there are a number of hardware and software solutions to solve the stereo correspondence problem. However few solutions are available for inexpensive mobile platforms where power and hardware are major limitations. This Thesis will proposes a method that competes with an existing OpenCV stereo correspondence method in speed and quality, and is able to run on generic multi core CPU’s
Abstract—Recent developments in smartphones create an ideal platform for robotics and computer visio...
Many real-world applications in robotics and computer vision rely on the ability to acquire reliable...
In recent 3D TV market, the technologies addressing to the applications such as stereoscopic depth s...
This paper describes a stereo vision system that enables real-time dense depth measurements on a per...
There is a need for compact, high-speed, and low-power vision systems for enabling real-time mobile ...
The rising interest in immersive entertainment and enhanced image and video content, along with th...
Stereo vision, resulting in the knowledge of deep information in a scene, is of great importance in ...
Main focus of this paper is to show the relevant improvements for a real time hardware co-processor ...
VIDET is a research project active at the University of Bologna and aimed at the development of a mo...
The process of combining two views of a scene in order to obtain depth information is called stereo ...
Stereo image is frequently used as preprocessing of stereo vision techniques. Although stereo image ...
AbstractStereo vision systems are computer vision implementations that use stereoscopic ranging tech...
The research reported here describes an approach to real-time stereo vision using non specialised co...
This paper presents a stereo image matching system that takes advantage of a global image matching m...
Stereo vision deals with images acquired by a stereo camera setup, where the disparity between the s...
Abstract—Recent developments in smartphones create an ideal platform for robotics and computer visio...
Many real-world applications in robotics and computer vision rely on the ability to acquire reliable...
In recent 3D TV market, the technologies addressing to the applications such as stereoscopic depth s...
This paper describes a stereo vision system that enables real-time dense depth measurements on a per...
There is a need for compact, high-speed, and low-power vision systems for enabling real-time mobile ...
The rising interest in immersive entertainment and enhanced image and video content, along with th...
Stereo vision, resulting in the knowledge of deep information in a scene, is of great importance in ...
Main focus of this paper is to show the relevant improvements for a real time hardware co-processor ...
VIDET is a research project active at the University of Bologna and aimed at the development of a mo...
The process of combining two views of a scene in order to obtain depth information is called stereo ...
Stereo image is frequently used as preprocessing of stereo vision techniques. Although stereo image ...
AbstractStereo vision systems are computer vision implementations that use stereoscopic ranging tech...
The research reported here describes an approach to real-time stereo vision using non specialised co...
This paper presents a stereo image matching system that takes advantage of a global image matching m...
Stereo vision deals with images acquired by a stereo camera setup, where the disparity between the s...
Abstract—Recent developments in smartphones create an ideal platform for robotics and computer visio...
Many real-world applications in robotics and computer vision rely on the ability to acquire reliable...
In recent 3D TV market, the technologies addressing to the applications such as stereoscopic depth s...