Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbol Recognition by Error-Tolerant Subgraph Matching between Region Adjacency Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Pictorial Structures for Object Recognition
International Journal of Computer Vision
Spatial Priors for Part-Based Recognition Using Statistical Models
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Discriminative Object Class Models of Appearance and Shape by Correlatons
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Contour Detection and Hierarchical Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A polynomial algorithm for submap isomorphism of general maps
Pattern Recognition Letters
Polynomial algorithms for subisomorphism of nD open combinatorial maps
Computer Vision and Image Understanding
Components and Their Topology for Robust Face Detection in the Presence of Partial Occlusions
IEEE Transactions on Information Forensics and Security - Part 2
| Hi-index | 0.10 |
Object detection is one of the key components in computer vision systems. Current research on this topic has shifted from holistic approaches to representations of individual object parts linked by structural information. Along this line of research, this paper presents a novel part-based approach for automatic object detection using 2D images. The approach encodes the visual structures of the object to be detected and the image by a 2D combinatorial map and a combinatorial pyramid, respectively. Within this framework, we propose to perform the searching of the object as an error-tolerant submap isomorphism that will be conducted at the different layers of the pyramid. The approach has been applied to the detection of visual landmarks for mobile robotics self-localization. Experimental results show the good performance and robustness of the approach in the presence of partial occlusions, uneven illumination and 3-dimensional rotations.