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Interactive 3D Modeling Using Only One Image Sujin Liu and Zhiyong Huang School of Computing 1. Introduction Problem: for VR systems, to create the models, usually with irregular shapes the current CAD modeling software addressed different problems

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interactive 3d modeling using only one image

Interactive 3D Modeling Using Only One Image

Sujin Liu and Zhiyong Huang

School of Computing

1 introduction
1. Introduction
  • Problem: for VR systems, to create the models, usually with irregular shapes
    • the current CAD modeling software addressed different problems
  • Ideas: study the use of human interaction and one image
    • balance the interaction and automation

VRST 2000

2 related work
2. Related Work
  • Forward methods
    • CSG/B-Rep
      • Zeleznik et al.. SKETCH. SIGGRAPH 96
      • Igarashi et al. Teddy. SIGGRAPH 99
    • Implicit Surfaces
      • Shen and Thalmann. Metaball Human, Implicit Surfaces 95
    • Production systems
      • Sakaguchi and Ohya. Botanical Tree. VRST 99

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slide4
Reverse methods
    • Computational Geometry based
      • Edelsbrunner and Mucke, 3D Alpha Shapes. TOG 94
      • Hoppe et al. Curless and Levoy. Zero-set. SIGGRAPH 92, SIGGRAPH 96
      • Amenta et al. Crust.SIGGRAPH 99
      • Turner et al., Line Drawing Interpretation, VRST 99
    • Model based
      • Thalmann and Thalmann. Human.IEEE CG&A 87
      • Pighin et al. Face.SIGGRAPH 98
      • Lee et al. Face.Eurographics 00

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slide5
Hybrid method
    • Debevec et al. Façade.SIGGRAPH 96
  • Other one image based method
    • Beymer and Poggio. Face Recognition. ICCV 95
    • Horry et al. TIP (Tour Into Picture).SIGGRAPH 97

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3 our work
3. Our Work

One 2D image

Photogrammetric Modeling

3D model

Human Interaction

Texture Mapping

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photogrammetric modeling
Photogrammetric Modeling
  • Purpose: to achieve automation by exploring the use of one image
  • Major steps:
    • Contour extraction
    • 2D skeleton computation
    • 2D meshing
    • 3D meshing
    • Texture mapping

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contour extraction
Contour Extraction
  • Using the color clustering
    • the algorithm classifies the pixels into different clusters by comparing result of the color threshold of each cluster
    • Two clusters: foreground and background
      • the foreground is distinguishable from the background by colors
      • not necessary a pure color background

VRST 2000

example
Example

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2d skeleton computation
2D Skeleton Computation
  • Purpose: to derive the skeleton of the 2D shape
  • The algorithm is based on the feature tracking and minimal spanning tree
    • KLT feature tracking: derive the feature points of the image
    • Minimal spanning tree: derive the skeleton of the 2D shape

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example11
Example

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2d meshing
2D Meshing
  • Purpose: to derive a 2D mesh of the shape using the skeleton and contour
  • A variation of the constrained Delaunay triangulation, Qhull
    • http://www.geom.umn.edu/software/qhull/

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example13
Example

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3d meshing
3D Meshing
  • Purpose: to derive the 3D mesh as an initial shape of the model
  • Intuition: lift the 2D mesh with different heights for every vertices
    • Height is estimated by the color intensity
    • Requires human interaction most

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example15
Example

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slide16
Two problems
    • Resolution decreases
      • similar to Teddy
    • Back meshing
      • human interaction

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texture mapping
Texture Mapping
  • Straight forward for the front mesh
    • each vertex of the 3D mesh has its texture coordinate in photogrammetrc modeling
  • Problem for the back mesh
    • human interaction

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example18
Example

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other human interaction
Other Human Interaction
  • Common to any modeling systems
    • picking, grouping, adding, deleting, displacing, etc.

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summary
Summary
  • A hybrid modeling framework
    • requires human interaction
    • has automations from the use of one image
    • not a stereo vision
    • not a model-based

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5 conclusion and future work
5. Conclusion and Future Work
  • We have proposed and implemented a hybrid modeling frame work using only one image
  • Future work: to address more general shapes

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6 acknowledgement
6. Acknowledgement
  • Dr. Leow Wee Kheng, Zhang Yong
  • NUS Academic Research Grant RP3982704

VRST 2000