未成熟
发表于 2025-3-25 06:24:46
Retrieving Articulated 3D Objects Using Normalized Distance FunctionThen, we introduce a novel graph matching algorithm by comparing the relative shortest paths between the skeleton endpoints. Experimental results demonstrate the feasibility of the proposed topological Reeb graph as a shape signature for 3D object retrieval using a benchmark of articulated shapes.
陈腐的人
发表于 2025-3-25 07:47:46
http://reply.papertrans.cn/17/1620/161989/161989_22.png
不真
发表于 2025-3-25 15:09:59
http://reply.papertrans.cn/17/1620/161989/161989_23.png
碳水化合物
发表于 2025-3-25 17:59:59
Articulated Motion and Deformable Objects978-3-642-14061-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
FRAUD
发表于 2025-3-25 20:30:32
http://reply.papertrans.cn/17/1620/161989/161989_25.png
放逐
发表于 2025-3-26 03:19:10
Research Design and Methodology,Then, we introduce a novel graph matching algorithm by comparing the relative shortest paths between the skeleton endpoints. Experimental results demonstrate the feasibility of the proposed topological Reeb graph as a shape signature for 3D object retrieval using a benchmark of articulated shapes.
V洗浴
发表于 2025-3-26 04:25:00
http://reply.papertrans.cn/17/1620/161989/161989_27.png
休闲
发表于 2025-3-26 11:04:09
http://reply.papertrans.cn/17/1620/161989/161989_28.png
大笑
发表于 2025-3-26 15:17:27
Compatible Particles for Part-Based Trackingsistency. Traditionally, the exponential growth on the number of particles required (and therefore in the computational cost) with respect to the increase of the state space dimensionality means one of the major drawbacks for these methods. The problem of part based tracking, central nowadays, is ha
纬线
发表于 2025-3-26 20:36:02
Combining Edge Detection and Region Segmentation for Lip Contour Extractionconditions. In this paper we improve upon the classical methods by introducing fusion. Two separate methods are first applied, one based on edge detection and the other on region segmentation to detect the outer lip contour, the results from them are then combined. Empirical evaluation of the detect