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There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks In addition, a constrained weight propagation technique allows animators to balance automation and flexible controls. As such, modifying blendshape weights (PCA coefficients) is equivalent to editing their corresponding motion capture sequence. Given a collected facial motion capture data set, we construct a truncated PCA space spanned by the greatest retained eigenvectors and a corresponding blendshape face model for each anatomical region of the human face. In this work, a 3D facial- motion-capture-editing problem is transformed to a blendshape-animation-editing problem. The authors present a novel data-driven 3D facial motion capture data editing system using automated construction of an orthogonal blendshape face model and constrained weight propagation, aiming to bridge the popular facial motion capture technique and blendshape approach. Orthogonal-blendshape-based editing system for facial motion capture data. The system was used for a set of different applications fields and demonstrated high accuracy and high level of automation. All cameras work in synchronization mode at frame rate up to 100 frames per second under the control of personal computer providing the possibility for accurate calculation of 3D coordinates of interest points. The developed motion capture system uses from 2 to 4 technical vision cameras for video sequences of object motion acquisition. Depending on the application the system can be easily modified for different working areas from 100 mm to 10 m. It is based on photogrammetric techniques of 3D measurements and provides high speed image acquisition, high accuracy of 3D measurements and highly automated processing of captured data. Scalable inexpensive motion capture system is developed as a convenient and flexible tool for solving various tasks requiring 3D motion analysis. The great potential for obtaining high accuracy and high degree of automation has vision-based system due to progress in image processing and analysis. Motion capture systems based on different physical principles are used for these purposes. Very often the process of movement is rather fast as in cases of vehicle movement, sport biomechanics, animation of cartoon characters. Wide variety of applications (from industrial to entertainment) has a need for reliable and accurate 3D information about motion of an object and its parts. Scalable Photogrammetric Motion Capture System "mosca": Development and Application
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We also describe motion analysis that we performed based on center-of-gravity data obtained by this system and motion analysis focusing on school and age group using this system. In this paper, we outline this instructional motion analysis system based on three-dimensional position data obtained by motion capture.
#INXSPEASOVE MOTION CAPTURE CAMERA USE FOR BLENDER 3D ANIMATION SERIES#
Thus, with the aim of developing a user-friendly instruction-support system, we have constructed a motion analysis system that displays a dancer's time series of body motions and center of gravity for instructional purposes. We have been able to study motion analysis systems for teaching Nihon Buyo now that body- motion data can be digitized and stored by motion capture systems using high-performance computers. This research aims to construct a system having a high on-site instructional effect on dancers learning Nihon Buyo, a traditional dance in Japan, and to classify Nihon Buyo dancing according to style, school, and dancer's proficiency by motion analysis.
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The passing on and preserving of advanced technical skills has become an important issue in a variety of fields, and motion analysis using motion capture has recently become popular in the research of advanced physical skills. Shinoda, Yukitaka Murakami, Shingo Watanabe, Yuta Mito, Yuki Watanuma, Reishi Marumo, Mieko Motion Analysis System for Instruction of Nihon Buyo using Motion Capture