The stable marriage problem: structure and algorithms
The stable marriage problem: structure and algorithms
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
International Journal of Computer Vision
Reflectance based object recognition
International Journal of Computer Vision
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Spatial Color Indexing and Applications
International Journal of Computer Vision
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Performance evaluation in content-based image retrieval: overview and proposals
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Comprehensive Colour Image Normalization
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
FOCUS: Searching for Multi-colored Objects in a Diverse Image Database
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
On representation and matching of multi-coloured objects
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Mean Shift Analysis and Applications
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Finding Color and Shape Patterns in Images
Finding Color and Shape Patterns in Images
Color and Geometry as Cues for Indexing,
Color and Geometry as Cues for Indexing,
FOCUS: a system for searching for multi-colored objects in a diverse image database
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Distinct Multicolored Region Descriptors for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust sequential view planning for object recognition using multiple cameras
Image and Vision Computing
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We propose a general-purpose color-based object model called the Multimodal Neighborhood Signature (MNS) with applications in object recognition and image retrieval. Object modeling is example-based and can cope with many appearance variations due to the image formation/rendering process. The local nature of the color representation facilitates robustness to occlusion and clutter. Unlike other methods, neither segmentation nor edge detection is required and the area of homogeneously colored regions is not used. The algorithm is simple to implement and has low storage requirements. In the reported experiments, eight recognition and two other retrieval methods are reviewed and systematically compared with MNS. Results show good and fast performance under severe scale, viewpoint, occlusion, and background change using a single image for object modeling. Although spatial information was not used and its default internal parameters were used, MNS outperformed most compared methods.