Using 3-Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints

To recover complicated surfaces, single information sources often prove insufficient. In this paper, we present a unified framework for 3-D shape reconstruction that allows us to combine image-based constraints, such as those deriving from stereo and shape-from-shading, with geometry-based ones, provided here in the form of 3-D points, 3-D features or 2-D silhouettes.

[1]  David G. Lowe,et al.  Fitting Parameterized Three-Dimensional Models to Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Katsushi Ikeuchi,et al.  Shape representation and image segmentation using deformable surfaces , 1992, Image Vis. Comput..

[3]  Y. G. Leclerc.  The local structure of image intensity discontinuities , 1989 .

[4]  Andrew Blake,et al.  Surface descriptions from stereo and shading , 1986, Image Vis. Comput..

[5]  Frank P. Ferrie,et al.  Recovery of Volumetric Object Descriptions From Laser Rangefinder Images , 1990, ECCV.

[6]  William H. Press,et al.  Numerical Recipes: The Art of Scientific Computing , 1987 .

[7]  Rachid Deriche,et al.  Dense Depth Recovery From Stereo Images , 1992, European Conference on Artificial Intelligence.

[8]  Monique Thonnat,et al.  A Pyramidal Stereovision Algorithm Based On Contour Chain Points , 1990, ECCV.

[9]  Pascal Fua,et al.  Segmenting Unstructured 3D Points into Surfaces , 1992, ECCV.

[10]  Norman I. Badler,et al.  Hierarchical Shape Representation Using Locally Adaptive Finite Elements , 1994, ECCV.

[11]  A. Favero,et al.  Italy , 1996, The Lancet.

[12]  Demetri Terzopoulos,et al.  Sampling and reconstruction with adaptive meshes , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Dimitris N. Metaxas,et al.  Dynamic 3D models with local and global deformations: deformable superquadrics , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[14]  Demetri Terzopoulos,et al.  Regularization of Inverse Visual Problems Involving Discontinuities , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Richard Szeliski,et al.  Surface modeling with oriented particle systems , 1992, SIGGRAPH.

[16]  Alex Pentland,et al.  Closed-form solutions for physically-based shape modeling and recognition , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[17]  Christian Heipke,et al.  Integration of Digital Image Matching and Multi Image Shape from Shading , 1992, DAGM-Symposium.

[18]  Demetri Terzopoulos,et al.  A finite element model for 3D shape reconstruction and nonrigid motion tracking , 1993, 1993 (4th) International Conference on Computer Vision.

[19]  R. Malladi,et al.  Deformable models: canonical parameters for surface representation and multiple view integration , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[20]  Régis Vaillant.  Using Occluding Contours for 3D Object Modeling , 1990, ECCV.

[21]  William H. Press,et al.  Numerical recipes , 1990 .

[22]  Reinhard Koch,et al.  Shape adaptation for modelling of 3D objects in natural scenes , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[23]  Olivier D. Faugeras,et al.  Curve-based stereo: figural continuity and curvature , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[24]  Laurent D. Cohen,et al.  Introducing new deformable surfaces to segment 3D images , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[25]  Andrew Blake,et al.  The dynamic analysis of apparent contours , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[26]  H. Silfverhielm,et al.  Sweden , 1996, The Lancet.

[27]  SzeliskiRichard,et al.  Surface modeling with oriented particle systems , 1992 .

[28]  Eberhard Gülch.  Results of test on image matching of ISPRS WG III/4 , 1991 .