3D Challenges and a Non-In-Depth Overview of Recent Progress

Although a lot of effort already went into the development of 3D acquisition technology, and existing methods come of age, several challenges remain. We try to give a - probably incomplete - overview of these. Then, some of our recent work at ETH Zurich and the University of Leuven is discussed, where we try to tackle such outstanding issues.

[1]  George Stiny,et al.  Pictorial and Formal Aspects of Shape and Shape Grammars , 1975 .

[2]  L. Richardson Pompeii : an architectural history , 1990 .

[3]  A. Wallace-Hadrill Houses and Society in Pompeii and Herculaneum , 1994 .

[4]  Marc Levoy,et al.  A volumetric method for building complex models from range images , 1996, SIGGRAPH.

[5]  Kari Pulli,et al.  Multiview registration for large data sets , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).

[6]  ARMIN GRUEN Automation in Building Reconstruction , 2000 .

[7]  Ioannis Stamos,et al.  3{D Model Construction Using Range and Image Data (Submitted to CVPR 2000) , 2000 .

[8]  Marc Levoy,et al.  Real-time 3D model acquisition , 2002, ACM Trans. Graph..

[9]  Joonki Paik,et al.  3D reconstruction of indoor and outdoor scenes using a mobile range scanner , 2002, Object recognition supported by user interaction for service robots.

[10]  Suya You,et al.  Approaches to Large-Scale Urban Modeling , 2003, IEEE Computer Graphics and Applications.

[11]  Christian Früh,et al.  Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images , 2005, International Journal of Computer Vision.

[12]  Frank Dellaert,et al.  A Probabilistic Approach to the Semantic Interpretation of Building Facades , 2004 .

[13]  Song Zhang,et al.  High-Resolution, Real-time 3D Shape Acquisition , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[14]  Luc Van Gool,et al.  Adaptive Scanning for Online 3D Model Acquisition , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[15]  Bernt Schiele,et al.  Pedestrian detection in crowded scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[16]  John B. Moore,et al.  Global registration of multiple 3D point sets via optimization-on-a-manifold , 2005, SGP '05.

[17]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[18]  Maarten Vergauwen,et al.  Web-based 3D Reconstruction Service , 2006, Machine Vision and Applications.

[19]  Luc Van Gool,et al.  3D City Modeling Using Cognitive Loops , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

[20]  Luc Van Gool,et al.  Procedural modeling of buildings , 2006, ACM Trans. Graph..

[21]  Luc Van Gool,et al.  Fast Compact City Modeling for Navigation Pre-Visualization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[22]  Luc Van Gool,et al.  Light Source Calibration for IBR and BTF Acquisition Setups , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

[23]  Luc Van Gool,et al.  Fast 3D Scanning with Automatic Motion Compensation , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[24]  Luc Van Gool,et al.  Dynamic 3D Scene Analysis from a Moving Vehicle , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[25]  Luc Van Gool,et al.  Image-based procedural modeling of facades , 2007, SIGGRAPH 2007.