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Paper Abstract and Keywords
Presentation 2020-03-13 14:45
Monocular Terrain Depth Estimation with Classification of Depth Distribution
Haruka Takahashi, Yuki Endo, Yoshihiro Kanamori, Jun Mitani (Univ. of Tsukuba)
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a method for estimating depth from single-view terrain landscapes using convolutional neural networks (CNNs). The existing depth estimation methods using CNNs mainly target at near-distance views (e.g., indoor scenes), and often suffer from large-scale scenes with significant depth range. We attribute this performance degradation to the difficulty of training due to considerable depth variations. In this work, we integrate a CNN for classifying depth distributions inferred from input images on top of depth estimation to alleviate the influence of depth variations during training and inference. We first classify training data into several depth classes and train a depth-estimation CNN for each class. During inference, we obtain a final depth map by calculating a weighted average of outputs from class-wise CNNs, whose weights are obtained as likelihoods inferred by the depth-classification CNN. We attempt more accurate depth estimation for terrain landscapes with this proposed framework.
Keyword (in Japanese) (See Japanese page) 
(in English) Terrain / Monocular Depth Estimation / / / / / /  
Reference Info. ITE Tech. Rep., vol. 44, pp. 65-68, March 2020.
Paper #  
Date of Issue 2020-03-06 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2020-03-13 - 2020-03-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2020 
Paper Information
Registration To AS 
Conference Code 2020-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Monocular Terrain Depth Estimation with Classification of Depth Distribution 
Sub Title (in English)  
Keyword(1) Terrain  
Keyword(2) Monocular Depth Estimation  
1st Author's Name Haruka Takahashi  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Yuki Endo  
2nd Author's Affiliation Uiversity of Tsukuba (Univ. of Tsukuba)
3rd Author's Name Yoshihiro Kanamori  
3rd Author's Affiliation Uiversity of Tsukuba (Univ. of Tsukuba)
4th Author's Name Jun Mitani  
4th Author's Affiliation Uiversity of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2020-03-13 14:45:00 
Presentation Time 15 minutes 
Registration for AS 
Paper # AIT2020-66 
Volume (vol) vol.44 
Number (no) no.10 
Page pp.65-68 
Date of Issue 2020-03-06 (AIT) 

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