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» Markerless Motion Capture from Monocular Videos
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ECCV
2010
Springer
15 years 2 months ago
Human Attributes from 3D Pose Tracking
We show that, from the output of a simple 3D human pose tracker one can infer physical attributes (e.g., gender and weight) and aspects of mental state (e.g., happiness or sadness)...
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ACCV
2007
Springer
15 years 3 months ago
Human Pose Estimation from Volume Data and Topological Graph Database
This paper proposes a novel volume-based motion capture method using a bottom-up analysis of volume data and an example topology database of the human body. By using a two-step gra...
Hidenori Tanaka, Atsushi Nakazawa, Haruo Takemura
ICIP
2009
IEEE
15 years 10 months ago
Pfid: Pittsburgh Fast-food Image Dataset
We introduce the first visual dataset of fast foods with a total of 4,545 still images, 606 stereo pairs, 303 3600 videos for structure from motion, and 27 privacy-preserving vide...
ICPR
2010
IEEE
15 years 1 months ago
Building a Videorama with Shallow Depth of Field
This paper presents a new automatic approach to building a videorama with shallow depth of field. We stitch the static background of video frames and render the dynamic foreground...
Soonmin Bae, Hao Jiang
AMDO
2006
Springer
15 years 1 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa