2026-04-13T07:25:28Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/21652024-05-22T09:46:36Zcom_2072_452955com_2072_2054col_2072_452957

00925njm 22002777a 4500 dc Lladó Bardera, Xavier author Del Bue, Alessio author Agapito, Lourdes author 2008 In this paper we present a novel structure from motion (SfM) approach able to infer 3D deformable models from uncalibrated stereo images. Using a stereo setup dramatically improves the 3D model estimation when the observed 3D shape is mostly deforming without undergoing strong rigid motion. Our approach first calibrates the stereo system automatically and then computes a single metric rigid structure for each frame. Afterwards, these 3D shapes are aligned to a reference view using a RANSAC method in order to compute the mean shape of the object and to select the subset of points on the object which have remained rigid throughout the sequence without deforming. The selected rigid points are then used to compute frame-wise shape registration and to extract the motion parameters robustly from frame to frame. Finally, all this information is used in a global optimization stage with bundle adjustment which allows to refine the frame-wise initial solution and also to recover the non-rigid 3D model. We show results on synthetic and real data that prove the performance of the proposed method even when there is no rigid motion in the original sequence http://hdl.handle.net/10256/2165 Imatges -- Processament -- Tècniques digitals Imatgeria tridimensional Visualització tridimensional (Informàtica) Image processing -- Digital techniques Three-dimensional display systems Three-dimensional imaging Recovering Euclidean deformable models from stereo-motion