A computational geometric learning approach for person axial and slanting depth prediction using single RGB camera-Reference-Cited by-同舟云学术

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A computational geometric learning approach for person axial and slanting depth prediction using single RGB camera

Published:2023-07-12 Issue:5 Volume:83 Page:14133-14149
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sriharsha K V^ORCID,Alphonse PJA

Funder

Department of Electronics and Information Technology, Ministry of Communications and Information Technology

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15970-1.pdf

Reference36 articles.

1. Achar S, Bartels JR, Whittaker WL, Kutulakos KN, Narasimhan SG (2017) Epipolar time-of-flight imaging. ACM Trans Graph (ToG) 36(4)37. ACM

2. Alphonse PJA, Sriharsha KV (2020) Depth perception in a single RGB camera using body dimensions and centroid property. Traitement du Signal 37(2). IIETA

3. Alphonse PJA, Sriharsha KV (2021) Depth estimation from a single RGB image using target foreground and background scene variations. Comput Electr Eng 94. Elseiver

4. Alphonse PJA, Sriharsha KV (2021) Depth perception in single rgb camera system using lens aperture and object size: A geometrical approach for depth estimation. SN Appl Sci 3(6)1–16. Springer

5. Anandan P (1989) A computational framework and an algorithm for the measurement of visual motion. Int J Comput Vis 2(3)283–310. Springer

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