Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

We focus on the task of amodal 3D object detection in RGB-D images, which aims to produce a 3D bounding box of an object in metric form at its full extent. We introduce Deep Sliding Shapes, a 3D ConvNet formulation that takes a 3D volumetric scene from a RGB-D image as input and outputs 3D object bo...

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Bibliographic Details

Published in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 808 - 816
Main Authors:	Shuran Song, Jianxiong Xiao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2016
Subjects:	Feature extraction Image color analysis Object detection Proposals Shape Three-dimensional displays Two dimensional displays
ISSN:	1063-6919
Online Access:	Get full text
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