Lim, Seng Poh and Haron, Habibollah (2014) Surface reconstruction techniques: a review. Artificial Intelligence Review, 42 (1). pp. 59-78. ISSN 0269-2821
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Official URL: http://dx.doi.org/10.1007/s10462-012-9329-z
Abstract
Surface reconstruction means that retrieve the data by scanning an object using a device such as laser scanner and construct it using the computer to gain back the soft copy of data on that particular object. It is a reverse process and is very useful especially when that particular object original data is missing without doing any backup. Hence, by doing so, the data can be recollected and can be stored for future purposes. The type of data can be in the form of structure or unstructured points. The accuracy of the reconstructed result should be concerned because if the result is incorrect, hence it will not exactly same like the original shape of the object. Therefore, suitable methods should be chosen based on the data used. Soft computing methods also have been used in the reconstruction field. This papers highlights the previous researches and methods that has been used in the surface reconstruction field.
Item Type: | Article |
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Uncontrolled Keywords: | soft computing methods, unstructured points |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 62737 |
Deposited By: | Fazli Masari |
Deposited On: | 05 Jun 2017 03:09 |
Last Modified: | 05 Jun 2017 03:09 |
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