Depth-of-Field Region Detection and Recognition From a Single Image Using Adaptively Sampled Learning Representation
Author:
Affiliation:
1. College of Software and Convergence (Department of Design Technology), Inha University, Michuhol-gu, South Korea
2. Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, South Korea
Funder
National Research Foundation of Korea
Basic Science Research Program through the National Research Foundation of Korea
Ministry of Education
Basic Science Research Program through NRF
Institute for Information and Communications Technology Planning and Evaluation (IITP) through Korean Government (MSIT)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10473055.pdf?arnumber=10473055
Reference48 articles.
1. Bayesian 3D Modeling from Images Using Multiple Depth Maps
2. Indoor Segmentation and Support Inference from RGBD Images
3. 3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection
4. 3-D Video Representation Using Depth Maps
5. Stereo depth map fusion for robot navigation
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