arXiv Open Access 2024

Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications

Darshan Venkatrayappa Alain Tremeau Damien Muselet Philippe Colantoni

Lihat Sumber

Abstrak

3D human body shape and pose estimation from RGB images is a challenging problem with potential applications in augmented/virtual reality, healthcare and fitness technology and virtual retail. Recent solutions have focused on three types of inputs: i) single images, ii) multi-view images and iii) videos. In this study, we surveyed and compared 3D body shape and pose estimation methods for contemporary dance and performing arts, with a special focus on human body pose and dressing, camera viewpoint, illumination conditions and background conditions. We demonstrated that multi-frame methods, such as PHALP, provide better results than single-frame method for pose estimation when dancers are performing contemporary dances.

Topik & Kata Kunci

cs.CV cs.AI

Penulis (4)

Darshan Venkatrayappa

Alain Tremeau

Damien Muselet

Philippe Colantoni

Format Sitasi

APA MLA BibTeX

Venkatrayappa, D., Tremeau, A., Muselet, D., Colantoni, P. (2024). Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications. https://arxiv.org/abs/2401.02383

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓