Davis Larry S. Hierarchical generalized hough transforms and line-segment based generalized hough transforms. Pattern Recognition, 15(4):277--285, 1982. 112  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... efficiency for finding local transformations when an intrinsic ordering for matching is present [Guilloux 86] Maitre 87] Milios 89] Ohta 87] Generalized Hough Transform For shape matching of rigidly displaced contours by mapping edge space into dual parameter space [Ballard 81] Davis 82] Linear Programming For solving system of linear inequality constraints, used for finding rigid transformation for point matching with polygon shaped error bounds at each point [Baird 84] Hierarchical Techniques Applicable to improve and speed up many different approaches by guiding search ....

.... used for finding rigid transformation for point matching with polygon shaped error bounds at each point [Baird 84] Hierarchical Techniques Applicable to improve and speed up many different approaches by guiding search through progressively finer resolutions [Bajscy 89] Bieszk 87] Davis 82] Paar 90] Tree and Graph Matching Uses tree graph properties to minimize search, good for inexact and matching of higher level structures [Gmur 90] Sanfeliu 90] Table 5: Search Strategies used in Image Registration 46 more general transformations. In local methods, such as piecewise ....

L. S. Davis, "Hierarchical Generalized Hough Transform and Line Segment Based Generalized Hough Transforms," Pattern Recognition 15, 1982, p277-285.

....distinctive features, are searched for first. It is more prudent, in that it works down the list of potential key features as protection against failure. This approach has been demonstrated for a variety of 3D objects. 2. 2 Generalized Hough and Pose Clustering The generalized Hough transform [DY80, Bal81, Dav82] and pose clustering [Sto87] algorithms shift the focus of search away from correspondence space and into pose space. Generalized Hough algorithms employ what are essentially voting schemes, while the more recently developed pose clustering algorithms identify tightly packed clusters of ....

Larry S. Davis. Hierarchical generalized Hough transforms and line-segment based generalized Hough transforms. Pattern Recognition, 15(4):277 -- 285, 1982.

....contain many parts and are consequently expensive to detect. Sitarman and Rosenfeld [SR89] have theorized that there is some optimum size for key features, but how best to select and detect key features remains an open question. Pose Space Search Generalized Hough transform [DY80, Bal81, Dav82] and pose clustering [Sto87] algorithms shift search from correspondence space and into pose space. Illingworth and Kittler [IK88] review generalized Hough work through 1988. Explicit representations of pose space place practical limits on the dimensionality of the pose space and most algorithms ....

Larry S. Davis. Hierarchical generalized Hough transforms and line-segment based generalized Hough transforms. Pattern Recognition, 15(4):277 -- 285, 1982.

....line segments. More precisely, if a single data segment is broken into two adjacent segments at any position along the segment, the resulting fit will not change. As an aside, the case of rigid 2D fitting deserves comment. For many matching techniques, such as tree search [16] and Hough transforms [25], forcing scale to remain constant makes problems easier to solve. In a somewhat counter intuitive discovery, we have found that leastsquares fitting of line models for the rigid case is harder than for the variable scale case. Variable scale requires the solution of a quadratic equation, while ....

Larry S. Davis, "Hierarchical generalized Hough transforms and line-segment based generalized Hough transforms," Pattern Recognition, vol. 15, no. 4, pp. 277 -- 285, 1982.

No context found.

Davis Larry S. Hierarchical generalized hough transforms and line-segment based generalized hough transforms. Pattern Recognition, 15(4):277--285, 1982. 112

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC