Optimal Camera Point Selection Toward the Most Preferable View of 3-D Human Pose

Beom Kwon, Jungwoo Huh, Kyoungoh Lee, Sanghoon Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Answering the question 'what is the most preferable view of a three-dimensional (3-D) human model?' is a challenge in computer vision, computer graphics, and cinematography applications because the appearance of a human, for a given pose, relies on the viewpoint of the user. Currently, to the best of the authors' knowledge, solid research on the most preferable viewing angle for obtaining numerical subjective evaluation scores has not been conducted. In this study, we investigate a metric that can be used to quantify the view of a 3-D human model, whose value is maximized at the most favorable camera angle in accordance with subjective assessments done by users. For an objective assessment in a numerical form, in this study, we define three view selection metrics: the 1) normalized limb length sum; 2) normalized area of a two-dimensional bounding box; and 3) normalized visible area of a 3-D bounding box. Finally, we formulate a viewpoint optimization problem whose objective function is the sum of the metrics. However, the objective function is nonconcave, and the solution set of the constraint is nonconvex. To overcome this difficulty, we employ decomposition and penalty methods. From the simulation results, it is verified that the average of the viewpoint selection error between the ground truth viewpoint and the optimal viewpoint obtained by the proposed algorithm is very close to the lower bound of the viewpoint selection error.

Original languageEnglish
Pages (from-to)533-553
Number of pages21
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Issue number1
Publication statusPublished - 2022 Jan 1

Bibliographical note

Funding Information:
Manuscript received June 30, 2019; revised December 23, 2019 and March 15, 2020; accepted June 15, 2020. This work was supported by Samsung Research Funding and Incubation Center of Samsung Electronics under Project SRFC-IT1702-08. This article was recommended by Associate Editor X. You. (Corresponding author: Sanghoon Lee.) Beom Kwon was with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea. He is now with the Division of Network Business, Samsung Electronics Company, Ltd., Suwon 16677, South Korea (e-mail: hsm260@yonsei.ac.kr).

Publisher Copyright:
© 2013 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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