A measure of shape dissimilarity for 3D curves
نویسندگان
چکیده
منابع مشابه
A Measure of Shape Dissimilarity for 3D Curves
We present a quantitative approach to the measurement of shape dissimilarity between two 3D (three-dimensional) curves. Any 3D continuous curve can be digitalized and represented as a 3D discrete curve. Thus, a 3D discrete curve is composed of constant orthogonal straightline segments. In order to represent 3D discrete curves, we use the orthogonal direction change chain code. The chain element...
متن کاملA method of optimum transformation of 3D objects used as a measure of shape dissimilarity
In this work, we present a method which transforms an object into another. The computation of this transformation is used as a measure of shape-of-object dissimilarity. The considered objects are composed of voxels. Thus, the shape difference of two objects can be ascertained by counting how many voxels we have to move and how far to change one object into another. This work is based on the met...
متن کاملA 3d Micro-Plane Model for Shape Memory Alloys
are compared with the experimental results. In these test results the shape memory alloys behavior as: super elasticity under various temperatures, loading rate effects, asymmetry in tension and pressure, various loops of loading and unloading, hydrostatic pressure effects, different proportional tension-shear biaxial loading and unloading, and also deviation from normality due to non-proportio...
متن کاملSlicing-based coherence measure for refining clusters of 3D curves
We present a method for refining clusters of 3D curves using a new coherence measure. Curves are common geometric models used for representing the information derived from different types of data, in particular scientific data represented as vector and tensor fields. Our method starts with an initial set of clusters. For each cluster, we probe samples from the cluster by “slicing” it with a pla...
متن کاملReconstruction of 3D-Curves from 2D-Images Using A ne Shape Methods for Curves
In this paper, we propose an algorithm for doing reconstruction of general 3D-curves from a number of 2D-images taken by uncalibrated cameras. No point correspondences between the images are assumed except for the end points. The curve and the view points are uniquely reconstructed, modulo common projective transformations. Furthermore, the algorithm is independent of the choice of coordinates,...
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: International Journal of Contemporary Mathematical Sciences
سال: 2006
ISSN: 1314-7544
DOI: 10.12988/ijcms.2006.06074