Bfh03_03.mp4 -

Authors: Amanda Duarte, et al. Venue: CVPR 2021

The foundational paper for this dataset, which describes its collection, annotation, and metadata, is:

Other related research, such as the , also uses a BFH subset for evaluating the accuracy of 3D human meshes. BFH03_03.mp4

If your query refers to the specifically, they produce significant research in applied machine intelligence and video analysis:

Specialized methods using Multi-Channel MKL for detecting characteristics in video sequences. How2Sign Dataset Authors: Amanda Duarte, et al

are specialized subsets that include these detailed pose estimations for use in tasks like sign language translation and human pose regression.

This paper introduces the dataset containing over 80 hours of instructional videos, including the BFH (Body-Face-Hands) keypoint annotations mentioned in your file name. You can access more information via the How2Sign Project Page . Dataset Context How2Sign Dataset are specialized subsets that include these

Related Research at BFH (Bern University of Applied Sciences)