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
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Articulated Soft Objects for Multiview Shape and Motion Capture
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Contour Matching for 3D Ear Recognition
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
A Comparison of 3D Biometric Modalities
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Graphical Models and Point Pattern Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Platform-based product design and development: A knowledge-intensive support approach
Knowledge-Based Systems
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Finger surface as a biometric identifier
Computer Vision and Image Understanding
Reverse engineering with a structured light system
Computers and Industrial Engineering
Non-rigid surface registration using spherical thin-plate splines
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Topology Preserving Relaxation Labeling for Nonrigid Point Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Point Set Registration Using Gaussian Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiview registration via graph diffusion of dual quaternions
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A game-theoretic approach to deformable shape matching
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
| Hi-index | 0.00 |
Reducing the setup time for a new production line is critical to the success of a manufacturer within the current competitive and cost-conscious market. To this end, being able to reuse already available machines, toolings and parts is paramount. However, matching a large warehouse of previously engineered parts to a new component to produce, is often more a matter of art and personal expertise rather than predictable science. In order to ease this process we developed a database retrieval approach for mechanical components that is able to deal with both rigid matching and deformable shapes. The intended use for the system is to match parts acquired with a 3D scanning system to a large database of components and to supply a list of results sorted according with a metric that expresses a structural distance.