View synthesis of scenes with multiple independently translating objects from uncalibrated views
13 Jan 2006-pp 460-469
TL;DR: A voxel-based volumetric scene reconstruction scheme is used to obtain a scene model and synthesize views of the entire scene using an affine coordinate system and experimental results are presented to validate the technique.
Abstract: We propose a technique for view synthesis of scenes with static objects as well as objects that translate independent of the camera motion. Assuming the availability of three vanishing points in general position in the given views, we set up an affine coordinate system in which the static and moving points are reconstructed and the translations of the dynamic objects are recovered. We then describe how to synthesize new views corresponding to a completely new camera specified in the affine space with new translations for the dynamic objects. As the extent of the synthesized scene is restricted by the availability of corresponding points, we use a voxel-based volumetric scene reconstruction scheme to obtain a scene model and synthesize views of the entire scene. We present experimental results to validate our technique.
TL;DR: A reconstruction method for multiple motion scenes, which are scenes containing multiple moving objects, from uncalibrated views, that first performs a projective reconstruction using a bilinear factorization algorithm and converts the projective solution to a Euclidean one by enforcing metric constraints.
Abstract: In this paper, we describe a reconstruction method for multiple motion scenes, which are scenes containing multiple moving objects, from uncalibrated views. Assuming that the objects are moving with constant velocities, the method recovers the scene structure, the trajectories of the moving objects, the camera motion, and the camera intrinsic parameters (except skews) simultaneously. We focus on the case where the cameras have unknown and varying focal lengths while the other intrinsic parameters are known. The number of the moving objects is automatically detected without prior motion segmentation. The method is based on a unified geometrical representation of the static scene and the moving objects. It first performs a projective reconstruction using a bilinear factorization algorithm and, then, converts the projective solution to a Euclidean one by enforcing metric constraints. Experimental results on synthetic and real images are presented.
"View synthesis of scenes with multi..." refers methods in this paper
...In , a method for reconstruction of scenes with multiple objects moving linearly with constant velocities....
Related Papers (5)
18 Feb 2016
13 Oct 2003