An accurate volume estimation on single view object images by deep learning based depth map analysis and 3D reconstruction

Author:

Dalai Radhamadhab,Dalai Nibedita,Senapati Kishore Kumar

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference42 articles.

1. Chaudhuri K, Kakade SM, Livescu K, Sridharan K (2019) Multi-view clustering via canonical correlation analysis, proceedings of the 26th annual international conference on machine learning, 129-136

2. Chen P-H, Yang H-C, Chen K-W, Chen Y-S (2020) MVSNet++: learning depth-based attention pyramid features for multi-view stereo. IEEE Trans Image Process 29:7261–7273

3. Dehais J, Anthimopoulos M, Shevchik S, Mougiakakou S (2016) Two-view 3D reconstruction for food volume estimation. IEEE Trans Multimed 19(5):1090–1099

4. dos Santos Rosa N, Guizilini V, Grassi V (2019) Sparse-to-continuous: enhancing monocular depth estimation using occupancy maps. In 2019 19th international conference on advanced robotics (ICAR), IEEE, 793-800

5. Fu H, Gong M, Wang C, Batmanghelich K, Tao D (2018) deep ordinal regression network for monocular depth estimation. In Proceedings of the IEEE conference on computer vision and pattern recognition 2002-2011

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