Shape similarity and shape categorization using Bayesian shape skeletons
نویسندگان
چکیده
منابع مشابه
Seeing structure: Shape skeletons modulate perceived similarity.
An intrinsic part of seeing objects is seeing how similar or different they are relative to one another. This experience requires that objects be mentally represented in a common format over which such comparisons can be carried out. What is that representational format? Objects could be compared in terms of their superficial features (e.g., degree of pixel-by-pixel overlap), but a more intrigu...
متن کاملA similarity-based approach for shape classification using Aslan skeletons
Shape skeletons are commonly used in generic shape recognition as they capture part hierarchy, providing a structural representation of shapes. However, their potential for shape classification has not been investigated much. In this study, we present a similarity based approach for classifying 2D shapes based on their Aslan skeletons [1, 2]. The coarse structure of this skeleton representation...
متن کاملSkeletons in N dimensions using shape primitives
This paper describes the generation of shape primitive detecting masks and their application in measurements on shapes as well as in conditions for topology preservation as used in skeletonization. The formalism is expanded from twoto four-dimensional images and elaborates on the extension of 3D skeletonization to 4D skeletonization. 2002 Elsevier Science B.V. All rights reserved.
متن کاملStrategies for shape matching using skeletons
Skeletons are often used as a framework for part-based shape description and matching. This paper describes some useful strategies that can be employed to improve the performance of such shape matching algorithms. Firstly, it is important that ligaturesensitive information be incorporated into the part decomposition and shape matching processes. Secondly, part decomposition should be treated as...
متن کاملText categorization using character shape codes
Text categorization in the form of topic identification is a capability of current interest. This paper is concerned with categorization of electronic document images. Previous work on the categorization of document images has relied on Optical Character Recognition (OCR) to provide the transformation between the image domain and a domain where pattern recognition techniques are more readily ap...
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: Journal of Vision
سال: 2019
ISSN: 1534-7362
DOI: 10.1167/19.10.128a