The paper presents a fast and robust stereo object recognition method. The method is currently unable to identify the rotation of objects. This makes it very good at locating spheres which are rotationally independent. Approximate methods for located non-spherical objects have been developed. Fundamental to the method is that the correspondence problem is solved using information about the dimensions of the object being located. This is in contrast to previous stereo object recognition systems where the scene is first reconstructed by point matching techniques. The method is suitable for real-time application on low-power devices
This thesis examines the problem of building primitive vision elements for the remote operation of ...
The mining environment, being complex, irregular and time varying, presents a challenging prospect f...
This thesis addresses a number of problems in computer vision, image processing, and geometry proces...
The paper presents a fast and robust stereo object recognition method. The method is currently unabl...
Abstract—In this paper we describe an efficient software architecture for object-tracking, based on ...
Spin image has been applied to 3D object recognition system successfully because of its advantages o...
This paper describes an intelligent vision method, which is capable of reconstructing the robot e...
Nowadays the processing techniques for localization in unknown areas are based on feature extraction...
This paper presents a unified recognition and stereo vision system which locates objects and determ...
This work aims at evaluating stereo matching algorithms in a 3D object recognition scenario, wherein...
This work aims at evaluating stereo matching algorithms in a 3D object recognition scenario, wherei...
International audience— This paper presents a 3D object recognition method based on spin-images for ...
This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Con...
Three-dimensional object recognition and localization are the central problems for many applications...
The mining environment presents a challenging prospect for stereo vision. Our objective is to produc...
This thesis examines the problem of building primitive vision elements for the remote operation of ...
The mining environment, being complex, irregular and time varying, presents a challenging prospect f...
This thesis addresses a number of problems in computer vision, image processing, and geometry proces...
The paper presents a fast and robust stereo object recognition method. The method is currently unabl...
Abstract—In this paper we describe an efficient software architecture for object-tracking, based on ...
Spin image has been applied to 3D object recognition system successfully because of its advantages o...
This paper describes an intelligent vision method, which is capable of reconstructing the robot e...
Nowadays the processing techniques for localization in unknown areas are based on feature extraction...
This paper presents a unified recognition and stereo vision system which locates objects and determ...
This work aims at evaluating stereo matching algorithms in a 3D object recognition scenario, wherein...
This work aims at evaluating stereo matching algorithms in a 3D object recognition scenario, wherei...
International audience— This paper presents a 3D object recognition method based on spin-images for ...
This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Con...
Three-dimensional object recognition and localization are the central problems for many applications...
The mining environment presents a challenging prospect for stereo vision. Our objective is to produc...
This thesis examines the problem of building primitive vision elements for the remote operation of ...
The mining environment, being complex, irregular and time varying, presents a challenging prospect f...
This thesis addresses a number of problems in computer vision, image processing, and geometry proces...