Shape-matching and classification using structural descriptors

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Partial shape matching using convex hull and Fourier descriptors

An application of Fourier descriptors and convex hull for shape analysis is presented. Convex hull is used for dividing a shape into small parts. Amplitude spectrum which is invariant to scaling, translation and choosing a starting point is obtained from the Fourier descriptors (see e.g [1-3]) and used for comparison. All calculations are performed with the author's software and some algorithms...

متن کامل

Shape matching and classification using height functions

We propose a novel shape descriptor for matching and recognizing 2D object silhouettes. The contour of each object is represented by a fixed number of sample points. For each sample point, a height function is defined based on the distances of the other sample points to its tangent line. One compact and robust shape descriptor is obtained by smoothing the height functions. The proposed descript...

متن کامل

Partial Matching by Structural Descriptors

The extended abstract describes a method for recognizing similar sub-parts of objects described by 3D polygonal meshes. The innovation of this method is the coupling of structure and geometry in the matching process. First of all, the structure of the shape is coded in a graph where each node is associated to a sub-part of the shape. Then, the matching between two shapes is approached using a g...

متن کامل

Shape Matching of 3-D Contours Using Normalized Fourier Descriptors

In this paper, we develop a simple, eigen-space matching algorithm for closed 3-D contours. Our algorithm relies on a novel method which normalizes the Fourier descriptors (FDs) of a 3-D contour with respect to two of its FD coefficients corresponding to the lowest non-zero frequencies. The remaining matching task only involves vertex shift and rotation about the z-axis. Our approach is inspire...

متن کامل

Local Image Descriptors for Matching and Classification Local Image Descriptors for Matching and Classification Title: Local Image Descriptors for Matching and Classification Acknowledgements

This thesis considers view-based object recognition in images, a problem that is still lacking an effective solution despite decades of research in computer vision. It is worth remembering that recognising an object from its appearance is considered as a keystone for image understanding, one of the most challenging problems in computer vision. The study and the analysis of the visual informatio...

متن کامل

ذخیره 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: PAMM

سال: 2007

ISSN: 1617-7061,1617-7061

DOI: 10.1002/pamm.200700270