Results 11 to 20 of about 367,868 (278)
Markerless 3D motion capture for animal locomotion studies [PDF]
Biology Open, 2014 Obtaining quantitative data describing the movements of animals is an essential step in understanding their locomotor biology. Outside the laboratory, measuring animal locomotion often relies on video-based approaches and analysis is hampered because of ...
William Irvin Sellers, Eishi Hirasaki
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Hand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation [PDF]
Sensors, 2021 The AnyBody Modeling System™ (AMS) is a musculoskeletal software simulation solution using inverse dynamics analysis. It enables the determination of muscle and joint forces for a given bodily motion.
Robin Fonk +3 more
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Neural monocular 3D human motion capture with physical awareness [PDF]
ACM Transactions on Graphics, 2021 We present a new trainable system for physically plausible markerless 3D human motion capture, which achieves state-of-the-art results in a broad range of challenging scenarios. Unlike most neural methods for human motion capture, our approach, which we dub "physionical", is aware of physical and environmental constraints. It combines in a
Shimada, Soshi +4 more
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Dense 3D motion capture from synchronized video streams [PDF]
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008 This paper proposes a novel approach to non-rigid, markerless motion capture from synchronized video streams acquired by calibrated cameras. The instantaneous geometry of the observed scene is represented by a polyhedral mesh with fixed topology. The initial mesh is constructed in the first frame using the publicly available PMVS software for multi ...
Yasutaka Furukawa, Jean Ponce
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Dense 3D motion capture for human faces [PDF]
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009 This paper proposes a novel approach to motion capture from multiple, synchronized video streams, specifically aimed at recording dense and accurate models of the structure and motion of highly deformable surfaces such as skin, that stretches, shrinks, and shears in the midst of normal facial expressions.
Y. Furukawa, J. Ponce
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Motion Capture 3D Sign Language Resources
, 2022 AbstractThe new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18 hours of Czech sign language. This helps alleviate the current problem, which is a critical lack of quality data necessary for research and subsequent deployment of machine learning techniques in this area.
Zdeněk Krňoul +3 more
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3D sign language recognition using spatio temporal graph kernels
Journal of King Saud University: Computer and Information Sciences, 2022 3D Sign language recognition is challenging from capturing to recognition. 3D signs are a set of spatio temporal variations of hands and fingers with respect to face, head and torso. 3D motion capture technology has enabled us to capture these complex 3D
D. Anil Kumar +3 more
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Novel method of capturing static and dynamic anthropometric data for home design [PDF]
, 2005 This paper presents a novel method for capturing and measuring both static and dynamic anthropometric data of people. These data can be then used for barrier-free home design based on a concept of ergonomic design with motion.
Qin, SF, Wright, DK, Zhang, P
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A joint motion & disparity motion estimation technique for 3D integral video compression using evolutionary strategy [PDF]
, 2007 3D imaging techniques have the potential to establish a future mass-market in the fields of entertainment and communications. Integral imaging, which can capture true 3D color images with only one camera, has been seen as the right technology to offer ...
Adedoyin, S, Aggoun, A, Fernando, WAC
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Transformasi Ruang 3D Pada Animasi Expresi Wajah Avatar Berbasis Radial Basis Function
Journal of Innovation Information Technology and Application, 2021 One technique for forming facial animations on avatars is by reusing existing animations, either from other avatar animations or animations from motion data obtained using facial motion capture. This research focuses on the transformation of 3D space for
Matahari Bhakti Nendya +1 more
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