NDLI: Surface reconstruction techniques for imperfect raw-data

Content Provider	IEEE Xplore Digital Library
Author	Cohen-Or, D.
Copyright Year	2009
Description	Author affiliation: School of Computer Science, Tel Aviv University, Israel (Cohen-Or, D.)
Abstract	In my talk I will present some surface reconstruction techniques that handle imperfect data. Such data is common in raw scans and contains large missing parts, ghost outliers and under-sampled regions. We explore reconstruction techniques that focus on such problematic regions. Our general goal is recovering the expected shape in terms of global topology and local geometric detail. I will present different methods that focus on several essential problems of imperfect data reconstruction: In the first part I will present a deformable model method that recovers a watertight surface and well interprets the topology of imperfect scans. Then, I will briefly introduce an interactive topology-aware reconstruction method that uses minimal user input to correctly reconstruct regions where the topology of the model cannot be automatically induced. I will also show how the reconstruction can be improved with the use of local priors and a visibility prior. Then, I will present a registration technique that handle noisy data. The technique allows registering raw noisy data, possibly contaminated with outliers, without pre-filtering or denoising the data. Finally, if time permits, I will present a novel approach based on the argument that man-made models can be distilled using a few special 1D wires and their mutual relations. Maintaining the properties of such a small number of wires allows preserving the defining characteristics of the entire object. The new method takes an analyze-and-edit approach, where prior to editing, it performs a light-weight analysis of the input shape to extract a descriptive set of wires. Analyzing the individual and mutual properties of the wires, and augmenting them with geometric attributes makes them intelligent and ready to be manipulated. Editing the object by modifying the intelligent wires leads to a powerful editing framework that retains the original design intent and object characteristics.
Starting Page	27
Ending Page	27
File Size	41135
Page Count	1
File Format	PDF
ISBN	9781424436996
DOI	10.1109/CADCG.2009.5246812
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Deformable models Surface reconstruction Shape Wires Noise reduction Reconstruction algorithms Topology Performance analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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