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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

An example of adaptive albedo calibration. (a) face model under illumination patterns; (b) calibrated image of face model; (c,d) histograms of (a,b) respectively.
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f6-sensors-12-10947: An example of adaptive albedo calibration. (a) face model under illumination patterns; (b) calibrated image of face model; (c,d) histograms of (a,b) respectively.

Mentions: Adaptive color calibration is a crucial method for assuring the accuracy rate of color classification. This method can adjust a stripe's color adaptively with respect to the different albedos in the RGB channels. Figure 6(a,c) illustrates that the gain of the R channel is stronger than those of the G and B channels. After adaptive color calibration, the gains of the three channels are almost same in Figure 6(b,d). Some quantitative comparisons between the adaptive albedo calibration and non-adaptive calibration have been performed. The results in Figure 7 clearly show that adaptive albedo calibration increases the number of correctly labeled points (by more than 15%).


Adaptive color calibration based one-shot structured light system.

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

An example of adaptive albedo calibration. (a) face model under illumination patterns; (b) calibrated image of face model; (c,d) histograms of (a,b) respectively.
© Copyright Policy
Related In: Results  -  Collection

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

f6-sensors-12-10947: An example of adaptive albedo calibration. (a) face model under illumination patterns; (b) calibrated image of face model; (c,d) histograms of (a,b) respectively.
Mentions: Adaptive color calibration is a crucial method for assuring the accuracy rate of color classification. This method can adjust a stripe's color adaptively with respect to the different albedos in the RGB channels. Figure 6(a,c) illustrates that the gain of the R channel is stronger than those of the G and B channels. After adaptive color calibration, the gains of the three channels are almost same in Figure 6(b,d). Some quantitative comparisons between the adaptive albedo calibration and non-adaptive calibration have been performed. The results in Figure 7 clearly show that adaptive albedo calibration increases the number of correctly labeled points (by more than 15%).

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