Invariant Properties of Straight Homogeneous Generalized Cylinders and Their Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding and recovering SHGC objects in an edge image
CVGIP: Image Understanding
Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of SHGCs From a Single Intensity View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Asynchronous perceptual grouping: from contours to relevant 2-D structures
Computer Vision and Image Understanding
Part-Based 3D Descriptions of Complex Objects from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
A perceptual grouping hierarchy for appearance-based 3D object recognition
Computer Vision and Image Understanding - Special issue on perceptual organization in computer vision
Shock Graphs and Shape Matching
International Journal of Computer Vision
Content-based query of image databases: inspirations from text retrieval
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Figure-Ground Discrimination: A Combinatorial Optimization Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Silhouette-Based Object Recognition with Occlusion through Curvature Scale-Space
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Recognition of Geons by Parametric Deformable Contour Models
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Generic Multi-scale Segmentation and Curve Approximation Method
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Viewpoint-Invariant Indexing for Content-Based Image Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Generic Modeling of 3D Objects from Single 2D Images
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Selection of Scale-Invariant Parts for Object Class Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Multi-Part Objects by Top-Down Perceptual Grouping
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Generic Detection of Multi-Part Objects
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Detection of unexpected multi-part objects from segmented contour maps
Pattern Recognition
Design and implementation of a fuzzy-modified ant colony hardware structure for image retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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A qualitative, volumetric part-based model is proposed to improve the categorical invariance and viewpoint invariance in content-based image retrieval, and a novel two-step part-categorization method is presented to build it. The method consists first in transforming parts extracted from a segmented contour primitive map and then categorizing the transformed parts using interpretation rules. The first step allows noisy extracted parts to be transformed to the domain of a simple classifier. The second step computes features of the transformed parts for categorization. Content-based image retrieval experiments using real images of complex multi-part objects confirm that a model built from the categorized parts improves both the categorical invariance and the viewpoint invariance. It does so by directly addressing the fundamental limits of low-level models.