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We propose a specialized form of the curved-knot B-spline surface of Hayes [1982] that we call regular curved-knot spline surface. Unlike the original formulation where the knots of the first parametric coordinate can evolve arbitrarily with respect to the second coordinate, our formulation designs the knot functions as special curves that guarantee a monotonic blending of the knots corresponding to opposite surface boundaries. Furthermore, we demonstrate that local derivatives on the boundary can be described as an ordinary B-spline surface. The latter property allows for constructing smooth transitions between B-spline boundaries with different knot vectors. [ABSTRACT FROM AUTHOR]

We propose a specialized form of the curved-knot B-spline surface of Hayes [1982] that we call regular curved- knot spline surface. Unlike the original formulation where the knots of the first parametric coordinate can evolve arbitrarily with respect to the second coordinate, our formulation designs the knot functions as special curves that guarantee a monotonic blending of the knots corresponding to opposite surface boundaries. Furthermore, we demonstrate that local derivatives on the boundary can be described as an ordinary B-spline surface. The latter property allows for constructing smooth transitions between B-spline boundaries with different knot vectors. [ABSTRACT FROM AUTHOR]

A new model of event and message driven Petri network(EMDPN) based on the characteristic of class interaction for messages passing between two objects was extended. Using EMDPN interaction graph, a class hierarchical test-case generation algorithm with cooperated paths (copaths) was proposed, which can be used to solve the problems resulting from the class inheritance mechanism encountered in object-oriented software testing such as oracle, message transfer errors, and unreachable statement. Finally, the testing sufficiency was analyzed with the ordered sequence testing criterion(OSC). The results indicate that the test cases stemmed from newly proposed automatic algorithm of copaths generation satisfies synchronization message sequences testing criteria, therefore the proposed new algorithm of copaths generation has a good coverage rate. [ABSTRACT FROM AUTHOR]

Objects and their spatial relationships are important features for human visual perception. In most existing content-based image retrieval systems, however, only global features extracted from the whole image are used. While they are easy to implement, they have limited power to model semantic-level objects and spatial relationship. To overcome this difficulty, this paper proposes a constraint-based region matching approach to image retrieval. Unlike existing region-based approaches where either individual regions are used or only first-order constraints are modeled, the proposed approach formulates the problem in a probabilistic framework and simultaneously models both first-order region properties and second-order spatial relationships for all the regions in the image. Specifically, in this paper we present a complete system that includes image segmentation, local feature extraction, first- and second-order constraints, and probabilistic region weight estimation. Extensive experiments have been carried out on a large heterogeneous image collection with 17,000 images. The proposed approach achieves significantly better performance than the state-of-the-art approaches. [ABSTRACT FROM AUTHOR]