Infrared and Laser Engineering, Volume. 54, Issue 7, 20250157(2025)
Recent progress in research and applications of monocular and binocular depth estimation (invited)
Fig. 1. Depth feature used in traditional monocular depth estimation[8]
Fig. 2. Pipeline for traditional retrieval methods based on machine learning [12]
Fig. 3. Monocular depth estimation network architecture: two-stage convolutional network[13]
Fig. 5. Schematic of the self-supervised method with reconstruction error as the supervisory signal[21]
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Haiyang HU, Chaoping CHEN, Tianmu GAO, Baoen HAN, Yunfan YANG, Yi LIU, Xiaojun WU. Recent progress in research and applications of monocular and binocular depth estimation (invited)[J]. Infrared and Laser Engineering, 2025, 54(7): 20250157
Category: Special issue—Advanced display technology and applications
Received: Mar. 10, 2025
Accepted: --
Published Online: Aug. 29, 2025
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