3D topology preserving flows for viewpoint-based cortical unfolding

Kelvin Rocha; Ganesh Sundaramoorthi; Anthony Yezzi

doi:10.1109/ICCV.2007.4409139

3D topology preserving flows for viewpoint-based cortical unfolding

Kelvin Rocha^*, Ganesh Sundaramoorthi, Anthony Yezzi

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

We present a variational method for unfolding of the cortex based on a user-chosen point of view as an alternative to more traditional global flattening methods, which incur more distortion around the region of interest. Our approach involves two novel contributions. The first is an energy function and its corresponding gradient flow to measure the average visibility of a region of interest of a surface from a given viewpoint. The second is an additional energy function and flow designed to preserve the 3D topology of the evolving surface. This latter contribution receives significant focus in this paper as it is crucial to obtain the desired unfolding effect derived from the first energy functional and flow. Without it, the resulting topology changes render the unconstrained evolution uninteresting for the purpose of cortical visualization, exploration, and inspection.

Original language	English (US)
DOIs	https://doi.org/10.1109/ICCV.2007.4409139
State	Published - 2007
Externally published	Yes
Event	2007 IEEE 11th International Conference on Computer Vision, ICCV - Rio de Janeiro, Brazil Duration: Oct 14 2007 → Oct 21 2007

Other

Other	2007 IEEE 11th International Conference on Computer Vision, ICCV
Country/Territory	Brazil
City	Rio de Janeiro
Period	10/14/07 → 10/21/07

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

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10.1109/ICCV.2007.4409139

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abstract = "We present a variational method for unfolding of the cortex based on a user-chosen point of view as an alternative to more traditional global flattening methods, which incur more distortion around the region of interest. Our approach involves two novel contributions. The first is an energy function and its corresponding gradient flow to measure the average visibility of a region of interest of a surface from a given viewpoint. The second is an additional energy function and flow designed to preserve the 3D topology of the evolving surface. This latter contribution receives significant focus in this paper as it is crucial to obtain the desired unfolding effect derived from the first energy functional and flow. Without it, the resulting topology changes render the unconstrained evolution uninteresting for the purpose of cortical visualization, exploration, and inspection.",

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doi = "10.1109/ICCV.2007.4409139",

language = "English (US)",

note = "2007 IEEE 11th International Conference on Computer Vision, ICCV ; Conference date: 14-10-2007 Through 21-10-2007",

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AU - Rocha, Kelvin

AU - Sundaramoorthi, Ganesh

AU - Yezzi, Anthony

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AB - We present a variational method for unfolding of the cortex based on a user-chosen point of view as an alternative to more traditional global flattening methods, which incur more distortion around the region of interest. Our approach involves two novel contributions. The first is an energy function and its corresponding gradient flow to measure the average visibility of a region of interest of a surface from a given viewpoint. The second is an additional energy function and flow designed to preserve the 3D topology of the evolving surface. This latter contribution receives significant focus in this paper as it is crucial to obtain the desired unfolding effect derived from the first energy functional and flow. Without it, the resulting topology changes render the unconstrained evolution uninteresting for the purpose of cortical visualization, exploration, and inspection.

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DO - 10.1109/ICCV.2007.4409139

M3 - Paper

AN - SCOPUS:50949100369

T2 - 2007 IEEE 11th International Conference on Computer Vision, ICCV

Y2 - 14 October 2007 through 21 October 2007

ER -

3D topology preserving flows for viewpoint-based cortical unfolding

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