Shape Retrieval
SHREC 2010 - Shape Retrieval Contest of Range Scans
... SHREC’10 Shape Retrieval Contest of Range Scans aims at comparing algorithms that match a range scan to complete 3D models in a target ...perform shape based matching and classification of the ...
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Sketch-based 3D Shape Retrieval using Convolutional Neural Networks
... Boundary information together with internal structures are used for matching sketches against 2D projections. Therefore, a good representation of line drawing images is a key component for sketch based shape ...
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SHREC'17: deformable shape retrieval with missing parts
... the retrieval process extremely ...deformable shape retrieval under such kind of ...15 retrieval algorithms were evaluated in the contest; this paper presents the details of the dataset, and ...
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Shape retrieval of non-rigid 3D human models
... Abstract 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 retrieval problem. We extend our recent paper ...
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Review of Shape Retrieval Approach with Geometric Distortion
... of shape retrieval on the basis of feature point extraction, angle length profile & curvature ...partition. Shape with geometric distortion, differences in image resolution is here extracted with ...
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Data-aware 3D partitioning for generic shape retrieval
... 3D shape retrieval can be classi fied into three groups: view-based, histogram-based, and ...the shape. View-based methods transform a 3D shape into a set of 2D views and subsequently we can ...
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Investigating the Bag-of-Words Method for 3D Shape Retrieval
... 3D shape retrieval ...3D shape retrieval task is categorized from different points of view: specific versus generic, partial-to- global retrieval (PGR) versus global-to-global ...
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Skeleton-based canonical forms for non-rigid 3D shape retrieval
... The use of canonical forms to normalise the pose of non- rigid shapes was first proposed by Elad and Kimmel [9]. They use multidimensional scaling to map the geodesic distances of a mesh into 3D Euclidean distances. ...
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Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval
... 3D shape retrieval methods could be coarsely divided into two categories: model-based methods and view- based ...the shape feature from the raw 3D representations of ob- jects, such as polygon meshed ...
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Shape Google: a computer vision approach to invariant shape retrieval
... non-rigid shape retrieval similar in its spirit to text retrieval methods used in search ...struct shape descriptors that are invariant to a wide class of transformations on one hand and are ...
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Curvature-based spectral signatures for non-rigid shape retrieval
... the shape spectrum. In this paper, we propose a shape descriptor framework based on a Lagrangian for- mulation of dynamics on the surface of the ...non-rigid shape retrieval, once it benefits ...
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Generalizations of Angular Radial Transform for 2D and 3D Shape Retrieval
... model shape by calculating statistical moments [32]–[34] or by considering a distribution of the measurement of geometric primitives (which might be points, cords, triangles, ...3D shape into irreducible ...
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Shape Retrieval Using ECPDH with Dynamic Programming
... In recent years, more attention has been paid to contour based descriptors, which may be due to the fact that humans are considered to recognize shapes by their con- tours. Inspired by the shape contexts ...
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Covariance Descriptors for 3D Shape Matching and Retrieval
... 3D shape analysis problems, particularly to 3D shape matching and recognition and to 3D shape ...3D shape analysis ...the retrieval and classification performance of the Bag of Co- ...
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Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution
... original shape distribu- tion cannot be generated stably because of the random sam- pling of the 3D ...rough shape feature extraction was pursued for similar shape retrieval of static 3D ...
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Fusing Multiple Features for Shape-based 3D Model Retrieval
... We experimentally evaluated the proposed algorithm by fusing the two refined visual features SV-DSIFT and LL-MO1SIFT. Experiments showed that the 3DVFF algorithm is more accurate than other state-of-the-art 3DMR ...
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Analysis of Different Similarity Measures in Image Retrieval Based on Texture and Shape
... image retrieval techniques. Content Based Image Retrieval is one of the image retrieval system, but to develop a CBIR system with appropriate combination of low level features is a big ...and ...
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Shape & Texture Based Image Retrieval from Fuzzy Clustered Data
... the shape and texture based image retrieval from fuzzy clustered ...a shape of the object into an image using a multistage ...extracted shape which is used for searching and retrieval ...
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Content Based Image Retrieval based on Shape with Texture Features
... Comparison of CBIR with already established method using text index, this method find out and get the image visual characteristics it directly establishes index in accordance with the characteristics of image ...
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Image Retrieval from an Engineering Database using Shape and Depth Feature
... However, in this paper, we use only a single image as query and not a set of images. Hence, a principle of shape from shading has been used to obtain the 3D embedding information. Lambertian model [17], is a ...
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