Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
A robot vision system for recognition of generic shaped objects
CVGIP: Image Understanding
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Visual tracking of known three-dimensional objects
International Journal of Computer Vision
Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Model-based object recognition in dense-range images—a review
ACM Computing Surveys (CSUR)
CAD-based vision: object recognition in cluttered range images using recognition strategies
CVGIP: Image Understanding
A robust method for registration and segmentation of multiple range images
Computer Vision and Image Understanding
Point Signatures: A New Representation for 3D Object Recognition
International Journal of Computer Vision
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Stereo-Tracking of Non-Polyhedral Objects for Automatic Disassembly Experiments
International Journal of Computer Vision - Special issue on image-based servoing
3D Object recognition in cluttered environments by segment-based stereo vision
International Journal of Computer Vision
Real-Time Visual Tracking of Complex Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hyper Frame Vision: A Real-Time Vision System for 6-DOF Object Localization
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Real-Time Object Tracking by Rotating Range Sensor
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Plane-based Calibration Algorithm for Multi-camera Systems via Factorization of Homography Matrices
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Hi-index | 0.00 |
This paper presents a new robot-vision system architecture for real-time moving object localization. The 6-DOF (3 translation and 3 rotation) motion of the objects is detected and tracked accurately in clutter using a model-based approach without information of the objects' initial positions. An object identification task and an object tracking task are combined under this architecture. The computational time-lag between the two tasks is absorbed by a large amount of frame memory. The tasks are implemented as independent software modules using stereo-vision-based methods which can deal with objects of various shapes with edges, including planar to smooth-curved objects, in cluttered environments. This architecture also leads to failure-recoverable object tracking, because the tracking processes can be automatically recovered, even if the moving objects are lost while tracking. Experimental results obtained with prototype systems demonstrate the effectiveness of the proposed architecture.