Three-Dimensional Face Reconstruction Using Multi-View-Based Bilinear Model
نویسندگان
چکیده
منابع مشابه
Face Reconstruction and Camera Pose Using Multi-dimensional Descent
This paper aims to propose a novel, robust, and simple method for obtaining a human 3D face model and camera pose (position and orientation) from a video sequence. Given a video sequence of a face recorded from an off-the-shelf digital camera, feature points used to define facial parts are tracked using the ActiveAppearance Model (AAM). Then, the face’s 3D structure and camera pose of each vide...
متن کاملWavelet-based image fusion in multi-view three-dimensional microscopy
MOTIVATION Multi-view microscopy techniques such as Light-Sheet Fluorescence Microscopy (LSFM) are powerful tools for 3D + time studies of live embryos in developmental biology. The sample is imaged from several points of view, acquiring a set of 3D views that are then combined or fused in order to overcome their individual limitations. Views fusion is still an open problem despite recent contr...
متن کاملAutomatic Camera Calibration and Model Reconstruction Using Multi-View Stereo
In this paper, we propose a method for automatic camera calibration and model reconstruction from image sequences. Our camera calibration method is based on the recent works of structure from motion that recover camera motions via a set of corresponding feature points extracted from images. The refinement of camera parameters is achieved by exploiting the concept of silhouette coherence. Eventu...
متن کاملAnatomy-based face reconstruction for animation using multi-layer deformation
This paper presents a novel multi-layer deformation (MLD) method for reconstructing animatable, anatomy-based human facial models with minimal manual intervention. Our method is based on adapting a prototype model with the multi-layer anatomical structure to the acquired range data in an ‘‘outside-in’’ manner: deformation applied to the external skin layer is propagated along with the subsequen...
متن کاملView Planning for Automated Three-Dimensional Object Reconstruction and Inspection
Laser scanning range sensors are widely used for high-precision, high-density three-dimensional (3D) reconstruction and inspection of the surface of physical objects. The process typically involves planning a set of views, physically altering the relative object-sensor pose, taking scans, registering the acquired geometric data in a common coordinate frame of reference, and finally integrating ...
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: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s19030459