### Abstract

We present an algorithm which segments and matches the regions and then estimates non-iteratively 3D motion and structure of a moving piecewise planar textured surface from two perspective views. The algorithm has two major steps. The first step is coarse. Here, the local planar nature of the surface is used to obtain polynomial expressions for image plane displacements of features. Using regions as moving features, the image is segmented using Hough transform such that the regions in each segment have the same polynomial coefficients. The values of these coefficients and region properties (e.g., area) are then used to identify region correspondences. In the second step, for each planar surface, the region correspondences are used to compute the corresponding motion parameters and surface orientation in closed form. The second step uses a finer model of motion than the first step. Experimental results are presented for three image pairs.

Original language | English |
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Title of host publication | Proceedings of the IEEE Workshop on Visual Motion |

Place of Publication | Los Alamitos, CA, United States |

Publisher | Publ by IEEE |

Pages | 274-279 |

Number of pages | 6 |

ISBN (Print) | 0818621532 |

Publication status | Published - 1991 Dec 1 |

Externally published | Yes |

Event | Proceedings of the IEEE Workshop on Visual Motion - Princeton, NJ, USA Duration: 1991 Oct 7 → 1991 Oct 9 |

### Other

Other | Proceedings of the IEEE Workshop on Visual Motion |
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City | Princeton, NJ, USA |

Period | 91/10/7 → 91/10/9 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Proceedings of the IEEE Workshop on Visual Motion*(pp. 274-279). Los Alamitos, CA, United States: Publ by IEEE.

**Segmentation, matching and estimation of structure and motion of textured piecewise planar surfaces.** / Sull, Sanghoon; Ahuja, Narendra.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the IEEE Workshop on Visual Motion.*Publ by IEEE, Los Alamitos, CA, United States, pp. 274-279, Proceedings of the IEEE Workshop on Visual Motion, Princeton, NJ, USA, 91/10/7.

}

TY - GEN

T1 - Segmentation, matching and estimation of structure and motion of textured piecewise planar surfaces

AU - Sull, Sanghoon

AU - Ahuja, Narendra

PY - 1991/12/1

Y1 - 1991/12/1

N2 - We present an algorithm which segments and matches the regions and then estimates non-iteratively 3D motion and structure of a moving piecewise planar textured surface from two perspective views. The algorithm has two major steps. The first step is coarse. Here, the local planar nature of the surface is used to obtain polynomial expressions for image plane displacements of features. Using regions as moving features, the image is segmented using Hough transform such that the regions in each segment have the same polynomial coefficients. The values of these coefficients and region properties (e.g., area) are then used to identify region correspondences. In the second step, for each planar surface, the region correspondences are used to compute the corresponding motion parameters and surface orientation in closed form. The second step uses a finer model of motion than the first step. Experimental results are presented for three image pairs.

AB - We present an algorithm which segments and matches the regions and then estimates non-iteratively 3D motion and structure of a moving piecewise planar textured surface from two perspective views. The algorithm has two major steps. The first step is coarse. Here, the local planar nature of the surface is used to obtain polynomial expressions for image plane displacements of features. Using regions as moving features, the image is segmented using Hough transform such that the regions in each segment have the same polynomial coefficients. The values of these coefficients and region properties (e.g., area) are then used to identify region correspondences. In the second step, for each planar surface, the region correspondences are used to compute the corresponding motion parameters and surface orientation in closed form. The second step uses a finer model of motion than the first step. Experimental results are presented for three image pairs.

UR - http://www.scopus.com/inward/record.url?scp=0026262663&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026262663&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0026262663

SN - 0818621532

SP - 274

EP - 279

BT - Proceedings of the IEEE Workshop on Visual Motion

PB - Publ by IEEE

CY - Los Alamitos, CA, United States

ER -