Optimal partial shape similarity
نویسندگان
چکیده
منابع مشابه
Optimal partial shape similarity
Humans are able to recognize objects in the presence of significant amounts of occlusion and changes in the view angle. In human and robot vision, these conditions are normal situations and not exceptions. In digital images one more problem occurs due to unstable outcomes of the segmentation algorithms. Thus, a normal case is that a given shape is only partially visible, and the visible part is...
متن کاملContour Grouping with Partial Shape Similarity
In this paper, a novel algorithm is introduced to group contours from clutter images by integrating high-level information (prior of part segments) and low-level information (edges of segmentations of clutter images). The partial shape similarity between these two levels of information is embedded into the particle filter framework, an effective recursively estimating model. The particles in th...
متن کاملPartial Shape Matching Using Transformation Parameter Similarity
In this paper, we present a method for non-rigid, partial shape matching in vector graphics. Given a user-specified query region in a 2D shape, similar regions are found, even if they are non-linearly distorted. Furthermore, a non-linear mapping is established between the query regions and these matches, which allows the automatic transfer of editing operations such as texturing. This is achiev...
متن کاملOn Shape Similarity
An algorithm for the detection of`perceptual sim-ilarity' among planar shapes is suggested. Current state-of-the-art matching algorithms deal mainly with shapes which are similar modulo a well deened geometric transformation. The goal of this paper is to suggest a similarity measure among shapes whichìook similar', such as diierent fonts of a letter or pictures of diierent`perceptually similar'...
متن کاملOn 3D Shape Similarity
We study the 3D shape similarity between closed surfaces. We represent a curved or polyhedral 3D object of genus zero using a mesh representation that has nearly uniform distribution with known connectivity among mesh nodes. We define a shape similarity metric based on the L2 distance between the local curvature distributions over the mesh representations of the two objects. For both convex and...
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: Image and Vision Computing
سال: 2005
ISSN: 0262-8856
DOI: 10.1016/j.imavis.2004.06.015