MEStereo-Du2CNN: a dual-channel CNN for learning robust depth estimates from multi-exposure stereo images for HDR 3D applications

Author:

Choudhary RohitORCID,Sharma MansiORCID,Uma T. V.ORCID,Anil RithvikORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference68 articles.

1. Akhavan, T., Kaufmann, H.: Backward compatible HDR stereo matching: a hybrid tone-mapping-based framework. EURASIP JIVP 1–12, 2015 (2015)

2. Akhavan, T., Yoo, H., Gelautz, M.: A framework for HDR stereo matching using multi-exposed images. In: HDRi2013, pp. 1–4 (2013)

3. Alhashim, I., Wonka, P.: High quality monocular depth estimation via transfer learning. arXiv: 1812.11941 (2018)

4. Anil, R., Sharma, M., Choudhary, R.: Sde-dualenet: a novel dual efficient convolutional neural network for robust stereo depth estimation. In: 2021 International Conference on Visual Communications and Image Processing (VCIP), pp. 1–5 (2021)

5. Burt, P., Adelson, E.: The Laplacian pyramid as a compact image code. IEEE Trans. Commun. 31(4), 532–540 (1983)

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