This paper proposes a simple “prior-free” method for solving the non-rigid structure-from-
motion (NRSfM) factorization problem. Other than using the fundamental low-order linear …

Abstract Most Non-Rigid Structure from Motion (NRSfM) solutions are based on factorization
approaches that allow reconstructing objects parameterized by a sparse set of 3D points …

Consistent segmentation is to the center of many applications based on dynamic geometric
data. Directly segmenting a raw 3D point cloud sequence is a challenging task due to the …

Non-rigid structure-from-motion (NRSfM) is the process of recovering time-varying 3D
structures and poses of a deformable object from an uncalibrated monocular video …

Non-rigid structure-from-motion is one of the difficult and challenging problems in computer
vision, especially when the only input available is 2D correspondences in monocular video …

Multiple-view geometry and structure-from-motion are well established techniques to
compute the structure of a moving rigid object. These techniques are all based on strong …

Affect bursts, which are nonverbal expressions of emotions in conversations, play a critical
role in analyzing affective states. Although there exist a number of methods on affect burst …

Abstract Non-rigid Structure from Motion (NRSfM) is a classical computer vision problem.
And the main methods used to solve it are in general based on shape models or trajectory …

Матированием называется отделение объекта переднего плана от фона на
изображении. При этом нужно для каждого пикселя получить цвет и значение …

Existing approaches to recover structure of 3D deformable objects and camera motion
parameters from an uncalibrated images assume the object's shape could be modelled well …