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Adaptive color calibration based one-shot structured light system.

Zhou Y, Zhao D, Yu Y, Yuan J, Du S - Sensors (Basel) (2012)

Bottom Line: In one-shot color structured light systems, the color of stripe patterns are typically distorted with respect to color crosstalk, ambient light and the albedo of the scanned objects, leading to mismatch in the correspondence of color stripes between the projected and captured images.The adaptive color calibration, according to the relative albedo in RGB channels, can improve the accuracy of labeling stripe by alleviating the effect of albedo and ambient light while decoding the color.Furthermore, the Discrete Trend Transform in the M channel makes the color calibration an effective method for detecting weak stripes due to the uneven surfaces or reflectance characteristics of the scanned objects.

View Article: PubMed Central - PubMed

Affiliation: School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu, China. nackzhou@nju.edu.cn

ABSTRACT
In one-shot color structured light systems, the color of stripe patterns are typically distorted with respect to color crosstalk, ambient light and the albedo of the scanned objects, leading to mismatch in the correspondence of color stripes between the projected and captured images. In this paper, an adaptive color calibration and Discrete Trend Transform algorithm are presented to achieve high-resolution 3D reconstructions. The adaptive color calibration, according to the relative albedo in RGB channels, can improve the accuracy of labeling stripe by alleviating the effect of albedo and ambient light while decoding the color. Furthermore, the Discrete Trend Transform in the M channel makes the color calibration an effective method for detecting weak stripes due to the uneven surfaces or reflectance characteristics of the scanned objects. With this approach, the presented system is suitable for scanning moving objects and generating high-resolution 3D reconstructions without the need of dark laboratory environments.

No MeSH data available.


Related in: MedlinePlus

RMS error versus o/A (SNR = 18 dB,σ = 0.3).
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f8-sensors-12-10947: RMS error versus o/A (SNR = 18 dB,σ = 0.3).

Mentions: In all of the methods, the RMS error increases as the noise increases from 25 dB to 18 dB, while MMWA derives the least RMS error at the same noise conditions. Figure 8 depicts that WA and MID are sensitive to light offsets. Nevertheless, our method obtains a high level of accuracy, even in a strong ambient light environment, because the offset is suppressed when deriving the M channel. Form Table 2 and Figure 8, we can conclude that our method outperforms other methods in terms of RMS error with respect to noise, stripe width and ambient light.


Adaptive color calibration based one-shot structured light system.

Zhou Y, Zhao D, Yu Y, Yuan J, Du S - Sensors (Basel) (2012)

RMS error versus o/A (SNR = 18 dB,σ = 0.3).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472868&req=5

f8-sensors-12-10947: RMS error versus o/A (SNR = 18 dB,σ = 0.3).
Mentions: In all of the methods, the RMS error increases as the noise increases from 25 dB to 18 dB, while MMWA derives the least RMS error at the same noise conditions. Figure 8 depicts that WA and MID are sensitive to light offsets. Nevertheless, our method obtains a high level of accuracy, even in a strong ambient light environment, because the offset is suppressed when deriving the M channel. Form Table 2 and Figure 8, we can conclude that our method outperforms other methods in terms of RMS error with respect to noise, stripe width and ambient light.

Bottom Line: In one-shot color structured light systems, the color of stripe patterns are typically distorted with respect to color crosstalk, ambient light and the albedo of the scanned objects, leading to mismatch in the correspondence of color stripes between the projected and captured images.The adaptive color calibration, according to the relative albedo in RGB channels, can improve the accuracy of labeling stripe by alleviating the effect of albedo and ambient light while decoding the color.Furthermore, the Discrete Trend Transform in the M channel makes the color calibration an effective method for detecting weak stripes due to the uneven surfaces or reflectance characteristics of the scanned objects.

View Article: PubMed Central - PubMed

Affiliation: School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, Jiangsu, China. nackzhou@nju.edu.cn

ABSTRACT
In one-shot color structured light systems, the color of stripe patterns are typically distorted with respect to color crosstalk, ambient light and the albedo of the scanned objects, leading to mismatch in the correspondence of color stripes between the projected and captured images. In this paper, an adaptive color calibration and Discrete Trend Transform algorithm are presented to achieve high-resolution 3D reconstructions. The adaptive color calibration, according to the relative albedo in RGB channels, can improve the accuracy of labeling stripe by alleviating the effect of albedo and ambient light while decoding the color. Furthermore, the Discrete Trend Transform in the M channel makes the color calibration an effective method for detecting weak stripes due to the uneven surfaces or reflectance characteristics of the scanned objects. With this approach, the presented system is suitable for scanning moving objects and generating high-resolution 3D reconstructions without the need of dark laboratory environments.

No MeSH data available.


Related in: MedlinePlus