Modelling Non-Rigid Dynamic Scenes from Multi-View Image Sequences
نویسندگان
چکیده
This chapter focuses on the problem of obtaining a complete spatio-temporal description of some objects undergoing a non-rigid motion, given several calibrated and synchronized videos of the scene. Using stereovision and scene flow methods in conjunction, the three-dimensional shape and the non-rigid three-dimensional motion field of the objects can be recovered. We review the unrealistic photometric and geometric assumptions which plague existing methods. A novel method based on deformable surfaces is proposed to alleviate some of these limitations.
منابع مشابه
Modelling Dynamic Scenes by Registrating Multi-View Image Sequences
We present a new variational method for multi-view stereovision and non-rigid threedimensional motion estimation from multiple video sequences. Our method minimizes the prediction error of the estimated shape and motion. Both problems then translate into a generic image registration task. The latter is entrusted to a similarity measure chosen depending on imaging conditions and scene properties...
متن کامل4D Match Trees for Non-rigid Surface Alignment
This paper presents a method for dense 4D temporal alignment of partial reconstructions of non-rigid surfaces observed from single or multiple moving cameras of complex scenes. 4D Match Trees are introduced for robust global alignment of non-rigid shape based on the similarity between images across sequences and views. Wide-timeframe sparse correspondence between arbitrary pairs of images is es...
متن کاملRecovery of Dynamic Scene Structure from Multiple Image Sequences
Despite significant progress in automatic recovery of static scene structure from range images, little effort has been made toward extending these approaches to dynamic scenes. This disparity is in large part due to the lack of range sensors with the high sampling rates needed to accurately capture dynamic scenes. We have developed a system that overcomes this problem by exploiting video camera...
متن کاملMulti-object reconstruction from dynamic scenes: An object-centered approach
In this paper, we present a new framework for three-dimensional (3D) reconstruction of multiple rigid objects from dynamic scenes. Conventional 3D reconstruction from multiple views is applicable to static scenes, in which the configuration of objects is fixed while the images are taken. In our framework, we aim to reconstruct the 3D models of multiple objects in a more general setting where th...
متن کاملSMOR: A Semantic Multi-View Object Representation System in 2D Image Sequences
In this work, we propose a framework for segmenting and tracking objects in a static scene using 2D image sequences taken from different viewpoints. The system includes the use of a set of simple algorithms to segment, identify, group and track the semantic objects modeled as a set of regions with compatible surface features. The integration of these algorithms for design of the system is the m...
متن کامل