Shape Retrieval of Non-rigid 3D Human Models
نویسندگان
چکیده
منابع مشابه
SHREC’14 Track: Shape Retrieval of Non-Rigid 3D Human Models
We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrie...
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Non-rigid 3D shape retrieval has become an active and important research topic in contentbased 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper develops a new benchmark consisting of 600 non-rigid 3D watertight meshes, which are equally classified into 30 categories, to carry out experime...
متن کاملSHREC'10 Track: Non-rigid 3D Shape Retrieval
Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the SHREC 2010 Shape Retrieval Contest of Non-rigid 3D Models is to evaluate and compare the effectiveness of different methods run on a non-rigid 3D shape benchmark consisting of 200 watertight triangular meshes. Three groups with six methods have participated in this track and the r...
متن کاملCanonical Forms for Non-Rigid 3D Shape Retrieval
We present a new benchmark for testing algorithms that create canonical forms for use in non-rigid 3D shape retrieval. We have combined two existing datasets to create a varied collection of models for testing. Canonical forms attempt to factor out a shape’s pose, giving a pose-neutral shape. This opens up the possibility of using methods originally designed for rigid retrieval for the task of ...
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Reducing the setup time for a new production line is critical to the success of a manufacturer within the current competitive and cost-conscious market. To this end, being able to reuse already available machines, toolings and parts is paramount. However, matching a large warehouse of previously engineered parts to a new component to produce, is often more a matter of art and personal expertise...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2016
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-016-0903-8