Disparity Computation With Low Intensity Quantization on Stereo Image Pairs
Author:
Affiliation:
1. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan
2. Department of Electrical Engineering, National Chung Cheng University, Minhsiung, Taiwan
Funder
Ministry of Science and Technology, Taiwan
Advanced Institute of Manufacturing with High-tech Innovations
The Featured Areas Research Center Program
Higher Education Sprout Project by the Ministry of Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6745852/10398876/10439635.pdf?arnumber=10439635
Reference34 articles.
1. PLUMENet: Efficient 3D Object Detection from Stereo Images
2. Lighting, Reflectance and Geometry Estimation from 360° Panoramic Stereo
3. A Survey on Deep Learning Techniques for Stereo-based Depth Estimation
4. On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey
5. On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
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