2009
DOI: 10.1155/2010/474389
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Efficient and Low-Cost 3D Structured Light System Based on a Modified Number-Theoretic Approach

Abstract: 3D scanning based on structured light (SL) has been proven to be a powerful tool to measure the three-dimensional shape of surfaces, especially in biomechanics. We define a set of conditions that an optimal SL strategy should fulfill in the case of static scenes and then we present an efficient solution based on improving the number-theoretic approach (NTA). The proposal is compared to the well-known Gray code (GC) plus phase shift (PS) technique and the original NTA, all satisfying the same set of conditions … Show more

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Cited by 23 publications
(7 citation statements)
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References 42 publications
(49 reference statements)
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“…As can be extracted from table 1, our proposal obtains one of the best accuracy results in terms of average and standard deviation of the error, similar to the algorithm of Monks et al [5]. Among dense reconstruction techniques the method of Pribanic et al [8] performs better, but requires a total of 18 projected patterns. Qualitative results were pursued reconstructing several 3D lambertian objects placed at 80cm of the camera (see Fig.…”
Section: Resultsmentioning
confidence: 72%
“…As can be extracted from table 1, our proposal obtains one of the best accuracy results in terms of average and standard deviation of the error, similar to the algorithm of Monks et al [5]. Among dense reconstruction techniques the method of Pribanic et al [8] performs better, but requires a total of 18 projected patterns. Qualitative results were pursued reconstructing several 3D lambertian objects placed at 80cm of the camera (see Fig.…”
Section: Resultsmentioning
confidence: 72%
“…Multiple phase shifting methods use more than one frequency in phase shifting to cope with the uncertainty in phase unwrap process. Famous multiple phase shifting methods are (Gushov and Solodkin, 1991) and (Pribanić et al, 2009). For the frequency multiplexing methods, phase decoding is performed in the frequency domain rather than in the spatial domain, including Fourier transform profilometry and wavelet transform profilometry.…”
Section: Related Workmentioning
confidence: 99%
“…Lilienblum and Michaelis presented a simple and robust multi-period phase shift algorithm, which allows for very accurate and stable reconstructions [3]. In [20] a modification is given to the original Gushov-Solodkin algorithm; in their work, the relative phase values are checked and corrected before the unwrapping procedure takes place. The method is claimed to be faster and not influenced by inaccuracies in relative phase computation, however more importantly it is suited toward a simple implementation with off-the-shelf components and its parameters need fine-tuning in some measure.…”
Section: Related Workmentioning
confidence: 99%