Upright orientation of 3D shapes with Convolutional Networks
نویسندگان
چکیده
منابع مشابه
Upright orientation of 3D shapes with Convolutional Networks
Posing objects in their upright orientations is the very first step of 3D shape analysis. However, 3D models in existing repositories may be far from their right orientations due to various reasons. In this paper, we present a data-driven method for 3D object upright orientation estimation using 3D Convolutional Networks (ConvNets), and the method is designed in the style of divide-and-conquer ...
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ژورنال
عنوان ژورنال: Graphical Models
سال: 2016
ISSN: 1524-0703
DOI: 10.1016/j.gmod.2016.03.001