Results 1 to 10 of about 139,685 (251)
Anisotropic SpiralNet for 3D Shape Completion and Denoising [PDF]
Sensors, 2022 Three-dimensional mesh post-processing is an important task because low-precision hardware and a poor capture environment will inevitably lead to unordered point clouds with unwanted noise and holes that should be suitably corrected while preserving the ...
Seong Uk Kim +3 more
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Contrastive Learning for 3D Point Clouds Classification and Shape Completion [PDF]
Sensors, 2021 In this paper, we present the idea of Self Supervised learning on the shape completion and classification of point clouds. Most 3D shape completion pipelines utilize AutoEncoders to extract features from point clouds used in downstream tasks such as ...
Danish Nazir +4 more
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Brain network mechanisms of visual shape completion [PDF]
NeuroImage, 2021 Visual shape completion recovers object shape, size, and number from spatially segregated edges. Despite being extensively investigated, the process's underlying brain regions, networks, and functional connections are still not well understood.
Brian P. Keane +5 more
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SELF-SUPERVISED ADVERSARIAL SHAPE COMPLETION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The goal of this paper is 3D shape completion: given an incomplete instance of a known category, hallucinate a complete version of it that is geometrically plausible. We develop an adversarial framework that makes it possible to learn shape completion in
T. Peters, K. Schindler, C. Brenner
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Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution [PDF]
Scientific Reports, 2023 Traditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes ...
Jianning Li +5 more
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SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imaging [PDF]
Computer Assisted SurgeryState-of-the-art computer- and robot-assisted surgery systems rely on intraoperative imaging technologies such as computed tomography and fluoroscopy to provide detailed 3D visualizations of patient anatomy.
Aidana Massalimova +5 more
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Neural shape completion for personalized Maxillofacial surgery [PDF]
Scientific ReportsIn this paper, we investigate the effectiveness of shape completion neural networks as clinical aids in maxillofacial surgery planning. We present a pipeline to apply shape completion networks to automatically reconstruct complete eumorphic 3D meshes ...
Stefano Mazzocchetti +6 more
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Log-Aesthetic Curves for Shape Completion Problem [PDF]
Journal of Applied Mathematics, 2014 An object with complete boundary or silhouette is essential in various design and computer graphics feats. Due to various reasons, some parts of the object can be missing hence increasing the complexity in designing process.
R. U. Gobithaasan +2 more
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2-D shape completion with shape priors [PDF]
Science Bulletin, 2013 We propose new techniques for 2-D shape/contour completion, which is one of the important research topics related to shape analysis and computer vision, e.g. the detection of incomplete objects due to occlusion and noises. The purpose of shape completion is to find the optimal curve segments that fill the missing contour parts, so as to acquire the ...
Yizhou Wang +2 more
exaly +2 more sources
Shape completion in the dark: completing vertebrae morphology from 3D ultrasound. [PDF]
Int J Comput Assist Radiol SurgAbstract Purpose Ultrasound (US) imaging, while advantageous for its radiation-free nature, is challenging to interpret due to only partially visible organs and a lack of complete 3D information.
Gafencu MA +6 more
europepmc +5 more sources