Modulated phase-shifting for 3D scanning

Chen, Tongbo; Seidel, Hans‐Peter; Lensch, Hendrik P. A.

doi:10.1109/cvpr.2008.4587836

Cited by 77 publications

(50 citation statements)

References 15 publications

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“…Slightly different from [10], the specific values were determined using a derivative free non-linear pattern search. -Modulated phase shifting [3] with three shifts of a sinusoid of frequency 1/76 px −1…”

Section: Methodsmentioning

confidence: 99%

“…This allows for efficient separation of the observed light intensities into direct and global light [20]. In modulated phase shifting [3], structured light patterns are modulated by means of carrier patterns, such that they become high-frequent in both spatial dimensions, thereby improving their separation power. Micro Phase Shifting [10] makes use of sinusoidal patterns in a narrow high-frequency band, promising robustness to global lighting effects and stable phase unwrapping with an optimal number of patterns.…”

Section: Related Workmentioning

confidence: 99%

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An Error Analysis of Structured Light Scanning of Biological Tissue

2017

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Abstract. This paper presents an error analysis and correction model for four structured light methods applied to three common types of biological tissue; skin, fat and muscle. Despite its many advantages, structured light is based on the assumption of direct reflection at the object surface only. This assumption is violated by most biological material e.g. human skin, which exhibits subsurface light reflection. In this study, we find that in general, structured light scans of biological tissue deviate significantly from the ground truth. We show that a large portion of this error can be predicted with a simple, stochastic linear model based on the scan geometry. As such, scans can be corrected without introducing any specially designed pattern strategy or hardware. We can effectively reduce the error in a structured light scanner applied to biological tissue by as much as factor of two or three.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An Error Analysis of Structured Light Scanning of Biological Tissue

2017

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“…Our techniques do not require explicit separation of the direct and global components of scene radiance and hence work even in scenarios where the separation fails (e.g., strong inter-reflections among metallic objects) or where the direct component is too low and noisy (e.g., translucent objects or in the presence of defocus). Our techniques consistently outperform many traditional coding schemes and techniques which require explicit separation of the global component, such as modulated phase-shifting [4]. Our methods are simple to implement and can be readily incorporated into existing systems without significant overhead in terms of acquisition time or hardware.…”

Section: Introductionmentioning

confidence: 93%

“…This has led to several attempts to perform structured light scanning under global illumination [3,4]. All these techniques rely on subtracting or reducing the global component and apply conventional approaches on the residual direct component.…”

Section: Related Workmentioning

confidence: 99%

Structured light 3D scanning in the presence of global illumination

et al. 2011

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Global illumination effects such as inter-reflections, diffusion and sub-surface scattering severely degrade the performance of structured light-based 3D scanning.In this paper, we analyze the errors caused by global illumination in structured light-based shape recovery. Based on this analysis, we design structured light patterns that are resilient to individual global illumination effects using simple logical operations and tools from combinatorial mathematics. Scenes exhibiting multiple phenomena are handled by combining results from a small ensemble of such patterns. This combination also allows us to detect any residual errors that are corrected by acquiring a few additional images.Our techniques do not require explicit separation of the direct and global components of scene radiance and hence work even in scenarios where the separation fails or the direct component is too low. Our methods can be readily incorporated into existing scanning systems without significant overhead in terms of capture time or hardware. We show results on a variety of scenes with complex shape and material properties and challenging global illumination effects.

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“…Modulated phase shifting [2] modulates the sinusoids used in phase shifting by high frequency signals so both shape and global illumination of a scene can be recovered, but it does not consider the effects of illumination defocus.…”

Section: Related Workmentioning

confidence: 99%

Multi Focus Structured Light for Recovering Scene Shape and Global Illumination

Achar

Narasimhan

2014

Computer Vision – ECCV 2014

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Abstract. Illumination defocus and global illumination effects are major challenges for active illumination scene recovery algorithms. Illumination defocus limits the working volume of projector-camera systems and global illumination can induce large errors in shape estimates. In this paper, we develop an algorithm for scene recovery in the presence of both defocus and global light transport effects such as interreflections and sub-surface scattering. Our method extends the working volume by using structured light patterns at multiple projector focus settings. A careful characterization of projector blur allows us to decode even partially out-of-focus patterns. This enables our algorithm to recover scene shape and the direct and global illumination components over a large depth of field while still using a relatively small number of images (typically 25-30). We demonstrate the effectiveness of our approach by recovering high quality depth maps of scenes containing objects made of optically challenging materials such as wax, marble, soap, colored glass and translucent plastic.

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Modulated phase-shifting for 3D scanning

Cited by 77 publications

References 15 publications

An Error Analysis of Structured Light Scanning of Biological Tissue

An Error Analysis of Structured Light Scanning of Biological Tissue

Structured light 3D scanning in the presence of global illumination

Multi Focus Structured Light for Recovering Scene Shape and Global Illumination

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