Open Access
Shape Similarity Estimation Using Ordinal Measures
TLDR
A novel approach to shape similarity estimation based on ordinal correlation is presented, suitable for use in CBIR and produced encouraging results when applied on the MPEG-7 test data.Abstract:
In this paper we present a novel approach to shape similarity estimation based on ordinal correlation. The proposed method operates in three steps: object alignment, contour to multilevel image transformation and similarity evaluation. This approach is suitable for use in CBIR. The proposed technique produced encouraging results when applied on the MPEG-7 test data.read more
Citations
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Journal ArticleDOI
Perceptually-weighted evaluation criteria for segmentation masks in video sequences
P. Villegas,Xavier Marichal +1 more
TL;DR: Algorithmically computed figures of merit are proposed that take into account visually desirable properties of a segmentation mask in order to provide the user with metrics that best quantify the spatial and temporal accuracy of the segmentation masks.
Proceedings ArticleDOI
3D model retrieval based on 2D slice similarity measurements
TL;DR: A 2D shape distribution method is developed to measure the similarity between the 2D slices to represent the 3D model by a series of slices along certain directions so that the shape-matching problem between 3D models is transformed into similarity measuring between2D slices.
References
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Proceedings ArticleDOI
QBIC project: querying images by content, using color, texture, and shape
Carlton Wayne Niblack,R. Barber,Will Equitz,Myron D. Flickner,Eduardo H. Glasman,Dragutin Petkovic,Peter Cornelius Yanker,Christos Faloutsos,Gabriel Taubin +8 more
TL;DR: The main algorithms for color texture, shape and sketch query that are presented, show example query results, and discuss future directions are presented.
Journal ArticleDOI
On the detection of dominant points on digital curves
C.-H. Teh,Roland T. Chin +1 more
TL;DR: A parallel algorithm for detecting dominant points on a digital closed curve is presented, which leads to the observation that the performance of dominant points detection depends not only on the accuracy of the measure of significance, but also on the precise determination of the region of support.
Journal ArticleDOI
Curvature scale space image in shape similarity retrieval
TL;DR: Curvature scale space (CSS) image representation along with a small number of global parameters are used for this purpose and the results show the promising performance of the method and its superiority over Fourier descriptors and moment invariants.
Journal ArticleDOI
The detection of intensity changes by computer and biological vision systems
TL;DR: The implementation of a theory for the detection of intensity changes, proposed by Marr and Hildreth, where the image is first processed independently through a set of different size operators, whose shape is the Laplacian of a Gaussian, ▿2G(x, y).
Journal ArticleDOI
Using Polygons to Recognize and Locate Partially Occluded Objects
TL;DR: Computer vision algorithms that recognize and locate partially occluded objects using a generate-test paradigm that iteratively generates and tests hypotheses for compatibility with the scene until it identifies all the scene objects.