Learning part-based templates from large collections of 3D shapes
نویسندگان
چکیده
منابع مشابه
Understanding the Structure of Large, Diverse Collections of Shapes
Due to recent developments in modeling software and advances in acquisition techniques for 3D geometry, large numbers of shapes have been digitized. Existing datasets include millions of real-world objects, cultural heritage artifacts, scientific and engineering models, all of which capture the world around us at nanoto planetary scales. As large repositories of 3D shape collections continue to...
متن کاملClassifying Large-Scale Environment Shapes with Linear Optical Flow Templates
In this paper we deal with classifying coarse, large-scale environment shapes using image motion observed by a moving camera or robot. We apply approximate Bayesian model selection over a set of learned linear optical flow templates to explain the motion between adjacent video frames. Each template is a learned probabilistic model of the flow fields that may be observed in a large-scale environ...
متن کاملSub-part correspondence by structural descriptors of 3D shapes
To fully exploit the valuable knowledge embedded in repositories of digital models, it is crucial to devise search engines capable of expressing high-level and advanced queries, which can effectively support the re-use of CAD models. The retrieval mechanism should be able to return not only global similarity measures among objects, but it should be also coupled with methods for the automatic id...
متن کاملBuilding 3D Shapes from Parts
The research described in this thesis has focused on the composition of novel 3D shapes (e.g., depth maps and triangulated meshes) by reusing parts of existing shapes. Specifically, two methods were designed [28, 27]. The first is a novel tool for easy composition of existing 3D models (i.e., triangulated meshes) into novel models [28]. This tool was designed with the intention of providing a m...
متن کاملRule-Based Semantic Concept Classification from Large-Scale Video Collections
The explosive growth and increasing complexity of the multimedia data have created a high demand of multimedia services and applications in various areas so that people can access and distribute the data easily. Unfortunately, traditional keyword-based information retrieval is no longer suitable. Instead, multimedia data mining and content-based multimedia information retrieval have become the ...
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: ACM Transactions on Graphics
سال: 2013
ISSN: 0730-0301,1557-7368
DOI: 10.1145/2461912.2461933