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Title: US6009435: Progressive compression of clustered multi-resolution polygonal models
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Country: US United States of America

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23 pages

 
Inventor: Taubin, Gabriel; Hartsdale, NY
Horn, William Pettit; Scarsdale, NY
Borrel, Paul; Cortlandt Manor, NY

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 1999-12-28 / 1997-11-21

Application Number: US1997000976247

IPC Code: Advanced: G06T 9/00;
Core: more...
IPC-7: G06F 15/00;

ECLA Code: G06T9/00F;

U.S. Class: Current: 707/101; 345/420; 345/423; 345/428;
Original: 707/101; 345/420; 345/423; 345/428;

Field of Search: 707/101 345/440,423,443,420,425,428

Priority Number:
1997-11-21  US1997000976247

Abstract: A computer system progressively stores and transmits compressed clustered multi-resolution polygonal models. The computer uses a data structure that represents a clustered multi-resolution polygonal model in n-dimensional space. The data structure has a connectivity record which encodes the connectivity information of the highest level of detail. The data structure also has a clustering record which encodes how the vertices of each level of detal are clustered to obtain the vertices of the next lower level of detail. The clustering record is organized in decreasing order of level of detail. The data structure also has a data record with information describing the vertex positions of the levels of detail, and optionally the corresponding properties. The fields of the data record are organized in increasing order of level of detail. The system also includes ways for creating this data structure from a clustered multi-resolution polygonal model, transmitting this information between computers, and compressing and decompressing this transmitted information.

Attorney, Agent or Firm: Percello, Louis J. ;

Primary / Asst. Examiners: Homere, Jean R.;

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 17 claims
I claim:     1. A system for compressing a clustered multi-resolution polygonal model comprising:
  • a memory containing a polygonal model with two or more levels of detail with progressively more resolution, each level of detail having a plurality of vertices forming a plurality of triangles, each level of detail having a geometric information about the position of the vertices in space and each level of detail having a connectivity information about the association between each triangle and the vertices that form the triangle, the memory further having a clustering information for each level of detail about how a plurality of sets of vertices in each level of detail are clustered and how each of the respective clusters correspond to a vertex in a level of detail with a next lower resolution;
  • a central processing unit (CPU);
  • a connectivity process, executed by the CPU, that identifies the connectivity information of a highest resolution level of detail;
  • a clustering process, executed by the CPU, that orders the clustering information for each level of detail, from the level of detail with the highest resolution to the level of detail with the lowest resolution, where the clustering information is compressed by a clustering compression process having the following steps:
    • first, determining a connectivity preserving partition of the vertices of the level of detail into one or more connected clusters, with two vertices joined by an edge of the level of detail belonging to the same connected cluster if the clustering information determines that the two vertices are clustered into the same set, and
    • second, determining an anti-connectivity partition of the connected clusters into one or more sets of connected clusters, with two connected clusters belonging to the same set of connected clusters if the clustering information determines that the vertices that belong to the two connected clusters are clustered into the same set; and
  • a geometry process, executed by the CPU, that orders the geometric information of each level of detail from the level of detail with lowest resolution to the level of detail with highest resolution.


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Forward References: Show 27 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (27)   |   Backward references (7)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 31pp US5363107  1994-11 Gertz et al.  Massachusetts Institute of Technology Storage and transmission of compressed weather maps and the like
Buy PDF- 19pp US5448686  1995-09 Borrel  International Business Machines Corporation Multi-resolution graphic representation employing at least one simplified model for interactive visualization applications
Buy PDF- 21pp US5506947  1996-04 Taubin  International Business Machines Corporation Curve and surface smoothing without shrinkage
Buy PDF- 60pp US5748865  1998-05 Yamamoto et al.  Canon Kabushiki Kaisha Range image shape measurement using hierarchical ordering of multiresolution mesh data from delaunay triangulation
Buy PDF- 30pp US5825369  1998-10 Rossignac et al.  International Business Machines Corporation Compression of simple geometric models using spanning trees
Buy PDF- 16pp US5872572  1999-02 Rossignac  International Business Machines Corporation Method and apparatus for generating non-uniform resolution image data
Buy PDF- 48pp US5886702  1999-03 Migdale et al.  Real-Time Geometry Corporation System and method for computer modeling of 3D objects or surfaces by mesh constructions having optimal quality characteristics and dynamic resolution capabilities
       
Foreign References:
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PDF
Publication Date IPC Code Assignee   Title
Buy PDF EP0757333A2 1995-08  G06T 9/00 SUN MICROSYSTEMS, INC. 3D image decoding 


Other Abstract Info: DERABS G2000-105435 DERABS G2000-105435

Other References:
  • Hugues, H., "Progressive meshes", Proceedings of the ACM SIGGRAPH conference on computer graphics, Abstract Only, Aug. 1996.
  • De Floriani, et al., "Hierarchical triangulation for multiresolution surface description", ACM transactions on Graphics, vol. 4, No. 4, Abstract Only, Oct. 1995.
  • J. D. Foley, A. van Dam, S. K. Feiner and J. F. Hughes, Computer Graphics Principles and Practice, Addison-Wesley, 1990, pp. 471-477.
  • R. E. Tarjan, Data Structures and Network Algorithms, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1983, pp. 14-21.
  • P. Heckbert, Multiresolution Surface Modeling, Course Notes for SIGGRAPH '97, Los Angeles, Ca., Aug. 5, 1997, pp. 1-4.
  • M. Deering, Geometry Compression, Sun Microsystems, ACM-O-89791-701 4/95/008, pp. 13-20.
  • H. Hoppe, "Progressive Meshes", Microsoft Research, ACM-0-89791-746-4/96/008, pp. 99-108.
  • J. Popovic and H. Hoppe, "Progressive Simplicial Complexes", Carnegie Mellon U. and Microsoft Research, ACM-0-89791-896-7/97/008, pp. 217-224.


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