Learning 3D joint constraints from vision-based motion capture datasets
نویسندگان
چکیده
منابع مشابه
Joint Motion and Reflecatance Capture for Creating Religtable 3D Videos
Passive optical motion capture is able to provide authentically animated, photo-realistically and view-dependently textured models of real people. To import real-world characters into virtual environments, however, also surface reflectance properties must be known. We describe a video-based modeling approach that captures human motion as well as reflectance characteristics from a handful of syn...
متن کاملJoint Motion and Reflectance Capture for Creating Relightable 3D Videos
Passive optical motion capture is able to provide authentically animated, photo-realistically and view-dependently textured models of real people. To import real-world characters into virtual environments, however, also surface reflectance properties must be known. We describe a video-based modeling approach that captures human motion as well as reflectance characteristics from a handful of syn...
متن کاملRegion-Based vs. Edge-Based Registration for 3D Motion Capture by Real Time Monoscopic Vision
3D human motion capture by real-time monocular vision without using markers can be achieved by registering a 3D articulated model on a video. Registration consists in iteratively optimizing thematch between primitives extracted from the model and the images with respect to the model position and joint angles. We extend a previous color-based registration algorithm with a more precise edge-based...
متن کاملDatasets for Motion-Capture-Based Hand Gesture Recognition
Ten Vicon MX T40 (4 megapixel) motion capture cameras available in the Micro-Aerial Vehicle and Sensor Networks (MAVSeN) Laboratory at Louisiana Tech University act as the source of data. The MAVSeN lab conducts research and development in small-scale vehicle design, cooperative intelligent sensing, and control algorithms for unmanned air and ground vehicles (see Figure 1). As the figure partia...
متن کاملEnhancing Silhouette-Based Human Motion Capture with 3D Motion Fields
High-quality non-intrusive human motion capture is necessary for acquistion of model-based free-viewpoint video of human actors. Silhouette-based approaches have demonstrated that they are able to accurately recover a large range of human motion from multi-view video. However, they fail to make use of all available information, specifically that of texture information. This paper presents an al...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IPSJ Transactions on Computer Vision and Applications
سال: 2019
ISSN: 1882-6695
DOI: 10.1186/s41074-019-0057-z