MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Automatic reconstruction of stationary 3-D objects from multiple uncalibrated camera views (2000) [17 citations — 7 self]

Download:
Download as a PDF
by Peter Eisert, Eckehard Steinbach, Bernd Girod
IEEE Transactions on Circuits and Systems for Video Technology: Special Issue on 3D Video Technology
http://bs.hhi.de/~eisert/papers/trcsvt00b.pdf
Add To MetaCart

Abstract:

A system for the automatic reconstruction of real world objects from multiple uncalibrated camera views is presented. The camera position and orientation for all views, the 3-D shape of the rigid object as well as associated color information are recovered from the image sequence. The system proceeds in four steps. First, the internal camera parameters describing the imaging geometry of the camera are calibrated using a reference object. Second, an initial 3-D description of the object is computed from two views. This model information is then used in a third step to estimate the camera positions for all available views using a novel linear 3-D motion and shape estimation algorithm. The main feature of this third step is the simultaneous estimation of 3-D camera motion parameters and object shape refinement with respect to the initial 3-D model. The initial 3-D shape model exhibits only a few degrees of freedom and the object shape refinement is defined as flexible deformation of the initial shape model. Our formulation of the shape deformation allows the object texture to slide on the surface, which differs from traditional flexible body modeling. This novel combined shape and motion estimation using sliding texture considerably improves the calibration data of the individual views in comparison to fixed-shape model-based camera motion estimation. Since the shape model used for model-based camera motion estimation is approximate only, a volumetric 3-D reconstruction process is initiated in the fourth step that combines the information from all views simultaneously. The recovered object consists of a set of voxels with associated color information that describe even fine structures and details of the object. New views of the object can be rendered from the recovered 3-D model, which has potential applications in virtual reality or multimedia systems and the emerging field of video coding using 3-D scene models. 1 1

Citations

1131 Robot Vision – Horn - 1986
697 A Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses – Tsai - 1987
518 A volumetric method for building complex models from range images”, SIGGRAPH '96 – Curless, Levoy - 1996
365 Three-Dimensional Computer Vision – Faugeras - 1993
266 Photorealistic scene reconstruction by voxel coloring – Seitz, Dyer - 1999
253 Uniqueness and estimation of three dimensional motion parameters of rigid objects with curved surface – Tsai, Huang - 1984
237 Estimation of relative camera positions for uncalibrated cameras – Hartley - 1992
212 Gool. Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters – Pollefeys, Koch, et al. - 1999
183 3D model acquisition from extended image sequences – Beardsley, Torr, et al. - 1996
162 Rapid octree construction from image sequences – Szeliski
125 Automatic camera recovery for closed or open image sequences – Fitzgibbon, Zisserman - 1998
122 3-D motion estimation in model-based facial image coding – Roivainen, Li, et al. - 1993
87 Multi viewpoint stereo from uncalibrated video sequences – Koch, Pollefeys, et al. - 1998
61 Automatic 3D Model Construction for Turn-Table Sequences – Cross, Zisserman - 1998
52 Automatic model construction, pose estimation, and object recognition from photographs using triangular splines – Sullivan, Ponce
48 Dynamic 3-d scene analysis through synthesis feedback control – Koch - 1993
40 Multi-hypothesis, Volumetric Reconstruction of 3-D Objects from Multiple Calibrated Camera Views – Eisert, Steinbach, et al. - 1999
29 Automatic reconstruction of 3D objects using a mobile monoscopic camera – Niem, Wingbermuhle - 1997
28 Depth Estimation from Stereoscopic Image Pairs Assuming Piecewise Continuos Surfaces”, European Workshop on Combined real and synthetic image processing for broadcast and video productions – Falkenhagen - 1994
28 3-d model construction from multiple views using range and intensity data – Vemuri, Aggarwal - 1986
23 Detection of intensity changes with subpixel accuracy using Laplacian-Gaussian masks – Huertas, Medioni - 1986
20 Object models from contour sequences – Boyer - 1996
15 Algorithms for estimation of three-dimensional motion – Netravali, Salz - 1985
10 Model-based 3D motion estimation with illumination compensation – Eisert, Girod - 1997
7 A comparison of some techniques for the subpixel location of discrete target images – Shortis, Clarke, et al. - 1994
7 Motion-based analysis and segmentation of image sequences using 3-d scene models – Steinbach, Eisert, et al. - 1998
5 Gool, “Flexible acquisition of 3D structure from motion – Pollefeys, Koch, et al. - 1998
5 Robust Estimation of Multi-Component Motion in Image Sequences Using the Epipolar Constraint – Steinbach, Chaudhuri, et al. - 1997
2 A new method for simultaneous estimation of displacement, depth, and rigid body motion parameters – Girod, Steinbach - 1996
1 Camera self-calibration—Theory and experiments – Faugeras, Luong, et al. - 1992
1 Video representation with 3D entities – Martins, Moura - 1998