Real-time active multiview 3D reconstruction

Ide, Kai; Sikora, Thomas

doi:10.1109/cvrs.2012.6421261

Cited by 2 publications

(7 citation statements)

References 18 publications

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“…In this work we base our approaches to reduce the amount of required patterns on the PMT method presented in [3]. We give a short overview of this method before describing our approaches to modify the phase unwrapping in detail.…”

Section: Image Guided Phase Unwrappingmentioning

confidence: 99%

“…As presented in [3], this method projects six phase-shifted sinusoidal patterns onto the scene for 3D-reconstruction. There are three high-frequency and three low-frequency patterns projected.…”

Section: Image Guided Phase Unwrappingmentioning

confidence: 99%

“…For the scope of this work, we utilized one 3D-scanning unit of the complete setup presented in [3]. This unit consists of a projector for illumination, a monochrome high-speed camera for phase acquisition as well as two color cameras for stereo matching used in both approached described in sections III-A and III-B.…”

Section: Image Guided Phase Unwrappingmentioning

confidence: 99%

“…A first impression of the achieved results is given in figure 1, showing the reconstructions of the basic algorithm [3] as well as both approaches presented in this paper.…”

Section: Introductionmentioning

confidence: 97%

“…Possible settings for these scanners range from small objects up to volumes of several cubic meters. Even with such high-volume reconstructions very detailed representations of the scenery can be acquired [3].…”

Section: Introductionmentioning

confidence: 99%

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Image guided phase unwrapping for real-time 3D-scanning

Borgmann

Tok

Sikora

2015

2015 Picture Coding Symposium (PCS)

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3D-reconstructions produced by active 3D-scanning systems based on structured light can achieve high accuracy reconstructions of the scene surfaces. Structured light algorithms based on phase measuring triangulation (PMT) utilize phaseshifted sinusoidal patterns projected into the scene for a precise determination of correspondencies. The number of patterns used for that purpose may vary depending on the design of the algorithm.No matter how many patterns are required, all of these algorithms suffer from the acquisition time needed to record all patterns sequentially. In case of a dynamic scene the sequential acquisition of images lead to the capture of dynamic objects in different poses which in turn result in erroneous reconstructions depending on the object's velocity. Our goal is to achieve a more robust result during dynamic scene capture as well as better scene reconstruction rate. Two novel approaches are presented to reduce the amount of required patterns for a highaccuracy 3D-reconstruction. This is achieved by incorporating passive matching techniques in the phase-unwrapping stage of the algorithm, allowing to drop one half of the sinusoidal patterns.

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Section: Image Guided Phase Unwrappingmentioning

confidence: 99%

Section: Image Guided Phase Unwrappingmentioning

confidence: 99%

Section: Image Guided Phase Unwrappingmentioning

confidence: 99%

“…A first impression of the achieved results is given in figure 1, showing the reconstructions of the basic algorithm [3] as well as both approaches presented in this paper.…”

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations