Liu, Yonghuai

Martin, Ralph

Rosin, Paul

Song, Ran

English

University of Lincoln Institutional Repository

3d gini coefﬁ-cient: An evaluation methodology for multi-view surface reconstruction algorithms.

A clustering approach to free form surface reconstruction from multi-view range images.

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Surface modeling using multi-view range and color images.

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Zippered polygon meshes from range images.

Saliency-guided integration of multiple scans

We present a novel method to integrate multiple 3D scans captured from different viewpoints. Saliency information is used to guide the integration process. The multi-scale saliency of a point is specifically designed to reflect its sensitivity to registration errors. Then scans are partitioned into salient and non-salient regions through an Markov Random Field (MRF) framework where neighbourhood consistency is incorporated to increase the robustness against potential scanning errors. We then develop different schemes to discriminatively integrate points in the two regions. For the points in salient regions which are more sensitive to registration errors, we employ the Iterative Closest Point algorithm to compensate the local registration error and find the correspondences for the integration. For the points in non-salient regions which are less sensitive to registration errors, we integrate them via an efficient and effective point-shifting scheme. A comparative study shows that the proposed method delivers improved surface integration

Martin, Ralph Robert

Rosin, Paul L.

Online Research @ Cardiff

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.2241

Saliency-guided integration of multiple scans

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University of Lincoln Institutional Repository

Online Research @ Cardiff