Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks

In this work, we present a novel method for capturing human body shape from a single scaled silhouette. We combine deep correlated features capturing different 2D views, and embedding spaces based on 3D cues in a novel convolutional neural network (CNN) based architecture. We first train a CNN to fi...

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Bibliographic Details

Published in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 5504 - 5514
Main Authors:	Dibra, Endri, Jain, Himanshu, Oztireli, Cengiz, Ziegler, Remo, Gross, Markus
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Neural networks Shape Solid modeling Strain Three-dimensional displays Training Two dimensional displays
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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