Evaluation of the CNN Based Architectures on the Problem of Wide Baseline Stereo Matching

Evaluation of the CNN Based Architectures on the Problem of Wide Baseline Stereo Matching

Three-dimensional information is often used in robotics and 3D-mapping. There exist several ways to obtain a three-dimensional map. However, the time of flight used in the laser scanners or the structured light utilized by Kinect-like sensors sometimes are not sufficient. In this thesis, we investig...

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Bibliographic Details
Main Author: Li, Vladimir
Format: Others
Language:English
Published: KTH, Datorseende och robotik, CVAP 2016
Subjects:
Stereo matching
Stereo Reconstruction
Computer Stereo Vision
CNN
Convolutional Neural Network
Disparity Estimation
3D reconstruction
KITTI
Computer Vision and Robotics (Autonomous Systems)
Datorseende och robotik (autonoma system)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192476

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192476

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