Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Line Pattern Retrieval Using Relational Histograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
ALSBIR: A local-structure-based image retrieval
Pattern Recognition
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
A general shape context framework for object identification
Computer Vision and Image Understanding
Structural descriptors for category level object detection
IEEE Transactions on Multimedia
Image retrieval based on multi-texton histogram
Pattern Recognition
Partial matching of garment panel shapes with dynamic sketching design
Proceedings of the 1st Augmented Human International Conference
Edge curvature and convexity based ellipse detection method
Pattern Recognition
| Hi-index | 0.14 |
A novel local structural approach, which is a sequel to our previous work, is proposed in this paper for object retrieval in a cluttered and occluded environment without identifying the outlines of an object. It works by first extracting consistent and structurally unique local neighborhood from inputs or models and then voting on the optimal matches employing dynamic programming and a novel hypercube-based indexing structure. The proposed concepts have been tested on a database with thousands of images and compared with the six nearest-neighbors shape description with superior results.