Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Appearance and Topology for Wide Baseline Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Scale-rotation invariant pattern entropy for keypoint-based near-duplicate detection
IEEE Transactions on Image Processing
A low-dimensional local descriptor incorporating TPS warping for image matching
Image and Vision Computing
Efficient Sequential Correspondence Selection by Cosegmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual similarity issues in face recognition
International Journal of Biometrics
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
| Hi-index | 0.00 |
The paper investigates a certain group of problems in visual detection and identification of near-identical the-same-class objects. We focus on difficult problems for which: (1) the intra-class visual differences are comparable to inter-class differences, (2) views of the objects are distorted both photometrically and geometrically, and (3) objects are randomly placed in images of unpredictable contents. Since detection of the-same-person faces in complex images is one of such problems, we use it as the case study for the proposed approach. The approach combines a relatively inexpensive technique of near-duplicate fragment detection with a novel co-segmentation algorithm. Thus, the initial pool of matching candidates can be found quickly (however, with limited precision, i.e. many false positives can be detected). It is shown that the subsequent co-segmentation can effectively reject false positives and accurately extract the matching objects from random backgrounds.