Evaluation of scanning parameters for a surface colour laser scanner

Bianchi, Silvio Diego; Spada, M.C.; Bianchi, L.; Verzé, L.; Vezzetti, Enrico; Tornincasa, Stefano; Ramieri, Guglielmo

doi:10.1016/j.ics.2004.03.264

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…It is likely that, despite being an extremely smooth area, its reproducibility was conditioned by facial expressions and strongly influenced by the position of the head during the scan. 6,17 These results were in line with findings by Toma et al 7 showing that the most reproducible points were those related to the lips. Those that were poorly reproducible included the glabella and the upper eyelid point.…”

Section: Areasupporting

confidence: 88%

“…1,3 The literature increasingly reports that 3D facial scanners can be used in the dental field, demonstrating a high degree of precision and accuracy. 4 Recent innovations in 3D facial analysis have led to the development of noninvasive techniques based on optical properties and digital processing, 5,6 as in the field of 3D facial scans. Studies 2,7 reported less than 1 mm in overall linear error, as compared with 2 mm of error found in another study.…”

Section: Introductionmentioning

confidence: 99%

“…The results of treatment can be compared with the pretreatment records, especially in children, in which routine radiology examinations are ethically questionable. 1,6,[8][9][10][11] The scans also allow integration of 3D analysis obtained from computed tomography and superimposition of images of the hard tissues onto scans of the facial surface. 1 The two facial scan systems compared in this study employed different principles.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of the accuracy of digital face scans obtained by two different scanners:

Pellitteri¹,

Brucculeri²,

Spedicato³

et al. 2021

The Angle Orthodontist

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Objectives To compare the degree of accuracy of the Face Hunter facial scanner and the Dental Pro application for facial scanning, with respect to both manual measurements and each other. Materials and Methods Twenty-five patients were measured manually and scanned using each device. Six reference markers were placed on each subject's face at the cephalometric points Tr, Na′, Prn, Pog′, and L–R Zyg. Digital measurement software was used to calculate the distances between the cephalometric reference points on each of the scans. Geomagic X Control was used to superimpose the scans, automatically determining the best-fit alignment and calculating the percentage of overlapping surfaces within the tolerance ranges. Results Individual comparisons of the four distances measured anthropometrically and on the scans yielded an intraclass correlation coefficient index greater than .9. The t-test for matched samples yielded a P value below the significance threshold. Right and left cheeks reached around 60% of the surface, with a margin of error between 0.5 mm and −0.5 mm. The forehead was the only area in which most of the surface fell within the poorly reproducible range, presenting values out of tolerance of more than 20%. Conclusions Three-dimensional scans of the facial surface provide an excellent analytical tool for clinical evaluation; it does not appear that one or the other of the measuring tools is systematically more accurate, and the cheeks are the area with the highest average percentage of surface in the highly reproducible range.

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Section: Areasupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of the accuracy of digital face scans obtained by two different scanners:

Pellitteri¹,

Brucculeri²,

Spedicato³

et al. 2021

The Angle Orthodontist

View full text Add to dashboard Cite

show abstract

“…Several studies (Bradtmiller, 1996;Bianchi et al, 2004) have used this technology and concluded that it was a precise technology for capturing 3D head data. A Dell laptop computer (Intel Core Duo 2.16 GHz CPU, 1 GB RAM) was used for scanner position control, data capture, and storage of the 3D measurement data.…”

Section: Apparatusmentioning

confidence: 99%

A comparison of different methods for head measurements

Luximon

Ball

2011

IJHFMS

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Traditional univariate anthropometric studies document substantial human dimensions with a long history. With the development of new technologies such as laser scanning, the dimensions could be directly extracted from 3D scans. The SizeChina anthropometric survey gathered more than 2,000 3D head scans together with traditional head measurements in China. This study analysed the dimension differences between traditional method and 3D method in terms of head circumference, head length and head breadth. It is found that the results from all dimensions of the 3D scans are larger than the traditional measurements. The differences for females and young group are larger than those of males and older group respectively. These have to be considered when comparing direct measurement results with extracted anthropometric measures from scanned data.

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“…Lasers have been used in measuring facial characteristics (Bianchi and others ), and laser triangulation can precisely measure dimensions (Franca and others ). However, lasers have not been used in the evaluation of surface characteristics of cream.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Visual Characteristics of Whipped Cream by Image Analysis and Machine Vision: Method Development

Liu

Balaban

2015

Journal of Food Science

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The appearance (color, shine, surface roughness, bumpiness, view area, height) of whipped cream samples change with time. Quantitative methods based on image analysis were developed to measure these parameters in cream samples stored at 3 temperatures (room temperature, 10 °C and 2 °C) for up to 24 h. There was a small decrease in L* and a* values over time, and a significant increase in b* values. ΔE values suggest that these color changes are significant and observable (2.96 for room temperature, 9.46 for 10 °C, 12.6 for 2 °C). Difference between polarized and nonpolarized images was used to quantify shine. The length of a laser line over the cream sample was measured to quantify the change in bumpiness of the surface (33.8%, 41.78%, and 33.27% reduction in laser line length for room temperature, 10 °C, and 2 °C, respectively). For room temperature stored samples, most changes occurred during the first 5 min. For samples stored at 10 °C and 2 °C, most changes occurred during the first 30 min. Turn angles data did not provide useful information. The changes in view area depended on temperature: at room temperature the area increased over time, at 10 °C it increased first then decreased; at 2 °C the view area decreased over time. Correlation of the results of these methods with sensory evaluation can make the evaluation of the appearance of whipped cream more objective, repeatable, and quantitative.

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Evaluation of scanning parameters for a surface colour laser scanner

Cited by 7 publications

References 5 publications

Comparison of the accuracy of digital face scans obtained by two different scanners:

Comparison of the accuracy of digital face scans obtained by two different scanners:

A comparison of different methods for head measurements

Quantification of Visual Characteristics of Whipped Cream by Image Analysis and Machine Vision: Method Development

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