Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
3DPO: A three-dimensional part orientation system
International Journal of Robotics Research
A computational approach to edge detection
Readings in computer vision: issues, problems, principles, and paradigms
CAD-Based Computer Vision: From CAD Models to Relational Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation and use of planar face normals
Pattern Recognition Letters
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
| Hi-index | 0.00 |
3D object recognition is a difficult and yet an important problem in computer vision. A 3D object recognition system has two major components, namely: an object modeller and a system that performs the matching of stored representations to those derived from the sensed image. The performance of systems wherein the construction of object models is done by training from one or more images of the objects, has not been very satisfactory. Although objects used in a robotic workcell or in assembly processes have been designed using a CAD system, the vision systems used for recognition of these objects are independent of the CAD database. This paper proposes a scheme for interfacing the CAD database of objects and the computer vision processes used for recognising these objects. CAD models of objects are processed to generate vision oriented features that appear in the different views of the object and the same features are extracted from images of the object to identify the object and its pose.