Recent Advances in Pose Estimation Methods in Computer Vision
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Computer Vision and Pattern Recognition".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 76
Special Issue Editor
Special Issue Information
Dear Colleagues,
Pose estimation remains a cornerstone of computer vision, serving as a critical enabler for applications ranging from human–computer interaction and autonomous driving to healthcare and augmented reality. This Special Issue aims to capture the transformative shift occurring in the field, moving beyond traditional 2D keypoint detection toward more robust, efficient, and semantically rich spatial understanding.
We invite contributions that explore recent advancements in 2D/3D pose estimation, emphasizing solutions that address real-world challenges such as occlusion, dynamic environments, and cross-domain generalization. We are particularly interested in works leveraging novel paradigms, including diffusion models for probabilistic pose prediction, foundation models for few-shot adaptation, and lightweight architectures optimized for edge and mobile deployment. Additionally, we encourage submissions that bridge the gap between human and animal pose estimation, as well as techniques that integrate temporal dynamics for video-based analysis. By showcasing high-impact research, this Special Issue seeks to highlight the next generation of pose estimation algorithms that prioritize both accuracy and computational efficiency, ultimately paving the way for more seamless integration into real-world, interactive systems.
Dr. Jielu Yan
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- 2D human pose estimation
- 3D human modeling
- skeleton-based action recognition
- multi-person pose tracking
- occlusion reasoning
- diffusion models for pose
- lightweight and edge deployments
- generative AI for motion synthesis
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