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TECHNICAL PAPERS

Probabilistic Approach to Modeling of 3D Objects using Silhouettes

[+] Author and Article Information
Ankur Jain

Department of Electronics & Computer Engg., Indian Institute of Technology, Roorkee-247667 Uttaranchal, Indiajainaj_24@yahoo.co.in

Vikas Yadav

Department of Electronics & Computer Engg., Indian Institute of Technology, Roorkee-247667 Uttaranchal, Indiavikas9900@gmail.com

Ankush Mittal

Department of Electronics & Computer Engg., Indian Institute of Technology, Roorkee-247667 Uttaranchal, Indiaankumfec@iitr,ernet.in

Sumit Gupta

Department of Computer Science & Engineering, MVGR College of Engineering, Vizianagaram, A.P., Indiasumitfec@mail.com

J. Comput. Inf. Sci. Eng 6(4), 381-389 (Sep 16, 2006) (9 pages) doi:10.1115/1.2364206 History: Received September 16, 2005; Revised September 16, 2006

Recently, 3D model construction from 2D images using an uncalibrated camera has attracted significant attention in the research community. Most of the algorithms for 3D model construction suffer from problems such as inefficiency, irregular construction, and necessity of camera calibration. In this paper, a novel algorithm is presented that uses the silhouette images obtained from the object to construct the 3D model. To carry out the 3D modeling, multiple views of the object are taken from different angles. Then using a silhouette based technique, new silhouettes are constructed and feature points are derived from them. These feature points are then used to construct the triangular meshes, which in turn construct the whole surface of the 3D model. The noise in the silhouette images is dealt with a probabilistic framework. In addition, a faster technique is presented to reduce the time and space complexity of this algorithm making it feasible for most commercial applications. The algorithm has been successfully tested on several objects. The experimental results and comparison with a voxelization technique over several sequences shows the superiority and the effectiveness of our technique.

Copyright © 2006 by American Society of Mechanical Engineers
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Figures

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Figure 1

An overview of the proposed system

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Figure 2

3D model constructed using only one silhouette image

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Figure 3

The silhouette image of the front view

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Figure 4

The piece of block after passing all stencils

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Figure 5

The result obtained for a sphere

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Figure 6

The front view of the cone

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Figure 7

Front view of reconstructed cone

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Figure 8

A view of the cone

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Figure 9

Another view of the cone

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Figure 10

Front view of the reconstructed cone

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Figure 11

Different views of a cone on different X-Y planes

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Figure 12

Illustration of pixel skew

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Figure 13

Computation of feature points along the extracted boundary

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Figure 14

Extracted feature points

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Figure 15

Surface formation using feature points

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Figure 16

3D models using homologous images

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Figure 17

3D models constructed using nonhomologous images

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Figure 18

Projection of the cone

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Figure 19

Approximated straight line

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