Award Abstract #0215962
MRI/RUI: Acquisition of Range-Scanning Equipment and of Data Servers for the Reconstruction of Large-Scale Scenes from 3D Range and 2D Color Data.

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	April 29, 2002
Latest Amendment Date:	April 29, 2002
Award Number:	0215962
Award Instrument:	Standard Grant
Program Manager:	Rita V. Rodriguez CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	May 1, 2002
Expires:	April 30, 2004 (Estimated)
Awarded Amount to Date:	$159307
Investigator(s):	Ioannis Stamos istamos@hunter.cuny.edu (Principal Investigator) Charles Ehlschlaeger (Co-Principal Investigator)
Sponsor:	CUNY Hunter College 695 Park Avenue New York, NY 10065 212/772-4020
NSF Program(s):	MAJOR RESEARCH INSTRUMENTATION
Field Application(s):	0000099 Other Applications NEC
Program Reference Code(s):	HPCC, 9229, 9218, 1189
Program Element Code(s):	1189

ABSTRACT

EIA-0215962

Ioannis Stamos

Charles Ehlschlaeger

CUNY Hunter College

MRI/RUI: Acquisition of Range-Scanning Equipment and of Data Servers for the Reconstruction of Large-Scale Scenes from 3D Range and 2D Color Data

This proposal, addressing the problem of 3D-photorealistic reconstruction of large-scale scenes in a tightly integrated system that features novel registration, segmentation, modeling, and visualization algorithms, tackles the following issues:

1) Nonplanar segmentation,

2) Automatic registration between 3D and 2D data sets,

3) Integration of the data sets, and

4) Simplification of the complex geometry.

The project requests the acquisition of a highly accurate range-scanner that can provide dense 3D data of outdoor scenes. Proposed is a system that operates on an input sequence of calibrated and uncalibrated 3D range and 2D image data. The system will segment the range and color images, extract their features, establish topological relationships between features, and derive global topological relationships between features in the final 3D geometric model. The whole process will be fully automated except for the range-to-image registration process that requires minimal user interaction. The expected output consists of a complete photorealistic model of the scene. The resulting 3D models will be utilized in geospatial; the acquired data will also be used for teaching purposes in CS and Geography departments. Aided by the Center of the Analysis and Research of Spatial Information (CARSI), urban areas of downtown New York and the interior of Grand Central Station in Manhattan are being used as testbeds.

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