Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses

• Published in: International journal of computer vision Vol. 119; no. 2; pp. 194 - 215
• Main Authors: Marinoiu, Elisabeta, Papava, Dragos, Sminchisescu, Cristian
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2016; Springer; Springer Nature B.V
• Subjects: Algorithms; Analysis; Artificial Intelligence; Automation; Computer Imaging; Computer Science; Computer vision; Computers; Eye movements; Ground truth; Human eye movements; Human motion; Human perception; Human performance; Human pose estimation; Human subjects; Image Processing and Computer Vision; Machine vision; Metric learning; Movement; Neural networks; Pattern Recognition; Pattern Recognition and Graphics; Perception; Perceptions; Perceptual distance; Quantitative analysis; Studies; Teaching methods; Vision; Vision systems; Visual; Visual stimuli; Human eye movements; Human pose estimation; Perceptual distance; Metric learning; Human perception
• ISSN: 0920-5691; 1573-1405; 1573-1405
• DOI: 10.1007/s11263-016-0888-3

Human motion analysis in images and video, with its deeply inter-related 2D and 3D inference components, is a central computer vision problem. Yet, there are no studies that reveal how humans perceive other people in images and how accurate they are. In this paper we aim to unveil some of the proces...