Intrinsic Shape Matching by Planned Landmark Sampling
نویسندگان
چکیده
منابع مشابه
Intrinsic Shape Matching by Planned Landmark Sampling
Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have been particularly successful due to their generality and efficiency. We introduce a new sampling-based shape matching algorithm that uses a planning step to find optimized ”landmark” points. These points are matched first...
متن کاملShape Matching by Random Sampling
In order to determine the similarity between two planar shapes, which is an important problem in computer vision and pattern recognition, it is necessary to first match the two shapes as good as possible. As sets of allowed transformation to match shapes we consider translations, rigid motions, and similarities. We present a generic probabilistic algorithm based on random sampling for matching ...
متن کاملOptimized Conformal Surface Registration with Shape-based Landmark Matching
Surface registration, which transforms different sets of surface data into one common reference space, is an important process which allows us to compare or integrate the surface data effectively. If a nonrigid transformation is required, surface registration is commonly done by parameterizing the surfaces onto a simple parameter domain, such as the unit square or sphere. In this work, we are i...
متن کاملFrom Landmark Matching to Shape and Open Curve Matching: A Level Set Approach
In this paper, we present a new framework for warping shapes and open curves between two images. This method could also handle multiple pairs of shapes or curves. When implemented in 3-D, the same framework could be used to warp 3-D objects with minimal modification. Our approach is to use the level set formulation to represent the shapes or curves to be matched. Using this representation, the ...
متن کاملSurface Shape Matching and Analysis using Intrinsic Coordinate Parameterizations
This paper presents a geometric method for parameterization, matching, and analysis of surface shapes. Surfaces are parameterized and represented by intrinsic coordinate maps derived from the conformal structure of the shape. This parameterization is invariant to rigid transformations of the shape, as well as angle-preserving parameterizations of the surface. Shape matching between coordinate m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2011
ISSN: 0167-7055
DOI: 10.1111/j.1467-8659.2011.01879.x