Snapbot : Enabling Dynamic Human Robot Interactions for Real-Time Computational Photography-Reference-Cited by-同舟云学术

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Snapbot : Enabling Dynamic Human Robot Interactions for Real-Time Computational Photography

Published:2024-03-11 Issue: Volume:17 Page:327-331
ISSN:
Container-title:Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Choi Chanyeok¹^ORCID,Kim Jeonghan²^ORCID,Nam Yunjae¹^ORCID,Lee Youngmoon¹^ORCID

Affiliation:

1. Hanyang University, Ansan, Gyeonggi, South Korea

2. Hanyang University, Ansan, Gyeongi, South Korea

Funder

National Research Foundation of Korea

National Research Foundation of Korea (NRF)

Institute of Information and Communications Technology Planning and Evaluation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610978.3640712

Reference17 articles.

1. Near Real-Time Three Axis Head Pose Estimation Without Training

2. Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim, and Youngmoon Lee. 2022a. Joint human pose estimation and instance segmentation with poseplusseg. In AAAI.

3. Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim, and Youngmoon Lee. 2022b. MultiPoseSeg: Feedback Knowledge Transfer for Multi-Person Pose Estimation and Instance Segmentation. In ICPR.

4. Introduction to inverse kinematics with jacobian transpose, pseudoinverse and damped least squares methods;Buss Samuel R;IEEE Journal of Robotics and Automation,2004

5. Aesthetic evaluation of Asian and Caucasian photos with overall and attribute scores

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