3D Shape
Investigating the Bag-of-Words Method for 3D Shape Retrieval
... [1], 3D shape analysis, and retrieval ...the 3D shape retrieval task in this paper. A typical 3D shape retrieval task can be defined as: giving a query 3D shape, to ...
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Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval
... a 3D shape, which is discriminative across categories and polymerized within classes, is a significant challenge in 3D shape ...existing 3D shape retrieval methods focus on ...
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Activity Representation Using 3D Shape Models
... using 3D deformable shape models for activity modeling and ...The 3D shape is estimated from the motion tra- jectories of the points participating in the activity under a weak perspective ...
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PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
... (3D) shape recognition has drawn much research attention in the field of computer ...for 3D feature ...popular 3D data modalities, different models are proposed with remarkable ...for ...
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MeshNet: Mesh Neural Network for 3D Shape Representation
... for 3D shapes and widely studied in the field of computer vision and com- puter ...of 3D shape representa- tion, there have been extensive research efforts concentrating on how to represent 3D ...
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An Invention Approach to 3D Face Recognition using Combination of 2D Texture Data and 3D Shape Data
... Combining shape and texture has the advantage that more accurate information is available for the face recognition, however the system becomes more complex and the texture data is dependent on lighting ...Using ...
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A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching
... a 3D shape to a 3D image. The key idea is to represent the 3D shape as a triangular mesh and to solve a manifold-valued multi-labelling problem on the set of ...
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Amygdala–hippocampal shape differences in schizophrenia: the application of 3D shape models to volumetric MR data
... The automatic segmentation takes approximately 20 minutes on a standard UNIX workstation, which is a significant improvement considering the 2–3 hours of manual segmentation by an expert human rater. We tested the ...
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Density-Based 3D Shape Descriptors
... the 3D shape ...for 3D meshes is still not totally solved [7], the common practice is to obtain the eigendecomposition of the covariance matrix of the surface ...the shape descriptors ...
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High-speed 3D shape measurement using Fourier transform and stereo vision
... Results: A white mask is measured based on the proposed method. The results from every step show the effect of different functions. To better show the effect of the proposed method, a white house is measured and the ...
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H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
... discretizing 3D models into voxels is a natural way to organize the shape information for CNN-based shape ...proposed 3D ShapeNets for 3D object detection. They represented a 3D ...
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Specular motion and 3D shape estimation
... make shape estimations more ...all shape estimation resources, maybe because of the higher motion energy it produces, for example, along parabolic lines (Adato & Ben-Shahar, ...perceived 3D ...
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MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval
... for 3D shape re- ...the shape level, to conduct 3D shape representation from different ...a shape-level descriptor for 3D shape representation, which is later used ...
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Comparison On Matching Methods Used In Pose Tracking For 3D Shape Representation
... Important issues of ICP algorithm are the speed of computation and the accuracy for 3D shape representation. The speed of the algorithm is crucial for many applications. When the number of points is very ...
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3D shape representation with spatial probabilistic distribution of intrinsic shape keypoints
... with 3D sensors like Time-of-Flight (ToF) ...simple shape signature which considers the topography of an object and is consistent all through pose variations while being easy to ...these shape ...
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Measuring 3D shape in orthodontics through geometric morphometrics
... the shape, without the need of pre-selecting some parts of the ...determine shape patterns and can thereafter dictate which measures to take and not vice ...
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3D shape reconstruction from relief calculation: application to human body
... calculated. Another model based on the previous one and proposed by Hatze is composed by 17 body segments. The obesity, the sexes and the pregnancy of a patient are taken into account [2]. It is a realist model but 242 ...
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3d Ear Shape Biometric Recognition by Using Ica Alorithm
... using 3D ear ...raw 3D image, through automated segmentation of the ear, and 3D shape matching for ...for 3D ear shape as a ...ear shape suggest that minor hair covering ...
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Region of Interest Extraction in 3D Face Using Local Shape Descriptor
... on 3D shape ...local shape descriptor. In addition, there is no need to rotate the entire 3D face model to the frontal (canonical) pose to specify pose ...GAVADB 3D face database, which ...
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A 3D foot shape feature parameter measurement algorithm based on Kinect2
... foot shape 3D ...a 3D scan of the ...foam shape was scanned after the foot is lifted, and the overall 3D shape of the foot was generated after ...
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