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From the zones of influence of skeleton branch points to meaningful object parts Luca Serino, Carlo Arcelli and Gabriella Sanniti di Baja Istituto di Cibernetica E. Caianiello , CNR Pozzuoli, Naples, Italy {l.serino, c.arcelli,


  1. From the zones of influence of skeleton branch points to meaningful object parts Luca Serino, Carlo Arcelli and Gabriella Sanniti di Baja Istituto di Cibernetica “E. Caianiello ”, CNR Pozzuoli, Naples, Italy {l.serino, c.arcelli, g.sannitidibaja}@cib.na.cnr.it DGCI 2013

  2. Outline  Why decompose?  3D curve skeleton  Object decomposition into disjoint regions via skeleton decomposition  Results DGCI 2013

  3. Why decompose? object recognition as a hierarchical process ◦ decompose into parts ◦ analyze the parts ◦ describe the object by a graph  nodes: parts  edges: adjacency between parts DGCI 2013

  4. Different approaches ◦ pre-defined shape primitives ◦ irregularities in the boundary ◦ object decomposition by means of skeleton decomposition DGCI 2013

  5. 2D objects ’ decompostion G. Sanniti di Baja, E. Thiel, "(3,4)-weighted skeleton decomposition for pattern representation and description", Pattern Recognition , 27 , 1039-1049, 1994. DGCI 2013

  6. 3D objects ’ decompostion L. Serino, G. Sanniti di Baja, C. Arcelli, Object decomposition via curvilinear skeleton  partition, Proc. 20 th ICPR, 2010, pp. 4081 – 4084. L. Serino, G. Sanniti di Baja, C. Arcelli, Using the skeleton for 3D object  decomposition, Proc. SCIA 2011, LNCS 6688, Springer, 2011, pp. 447 – 456. DGCI 2013

  7. The 3D curve skeleton C.Arcelli, G.Sanniti di Baja, L.Serino, Distance driven skeletonization in voxel images , IEEE Trans. PAMI, vol. 33, no. 4, pp. 709-720, 2011. DGCI 2013

  8. The method  Skeleton decomposition Identification of all skeleton branches  Detection of the significant branches by means of the zones of  influence of the branch points  Object decomposition Detection of the overlapping regions via the reverse distance  transformation of the zones of influence Detection of the object’s parts via the subtraction of the  overlapping regions from the input object Assignment of the overlapping regions to the adjacent object’s  parts DGCI 2013

  9. Running example DGCI 2013

  10. Skeleton decomposition DGCI 2013

  11. From skeleton to object decomposition DGCI 2013

  12. Overlapping regions detection

  13. Object ’ s parts via overlapping regions subtraction DGCI 2013

  14. Assignment of the overlapping regions R 1 = A P1 /A OR1 R 2 = A P2 /A OR1 R 3 = A P3 /A OR1 R 4 = A P4 /A OR1 P 1 OR 1 P 4 P 2 P 3 DGCI 2013

  15. Some results DGCI 2013

  16. Results for 3D objects in different poses/sizes DGCI 2013

  17. Stability DGCI 2013

  18. Extending the image domain DGCI 2013

  19. Questions? Thank you! DGCI 2013

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