Visual perceptual latency as a function of stimulus brightness and contour shape.

PurposeForensic dentistry is the application of dentistry in legal proceedings that arise from any facts relating to teeth. The ultimate goal of forensic odontology is to identify the individual when there are no other means of identification such as fingerprint, Deoxyribonucleic acid (DNA), iris, hand print and leg print. The purpose of selecting dental record is for the teeth to be able to withstand decomposition, heat degradation up to 1600 °C. Dental patterns are unique for every individual. This work aims to analyze the contour shape extraction and texture feature extraction of both radiographic and photographic dental images for person identification.Design/methodology/approachTo achieve an accurate identification of individuals, the missing tooth in the radiograph has to be identified before matching of ante-mortem (AM) and post-mortem (PM) radiographs. To identify whether the missing tooth is a molar or premolar, each tooth in the given radiograph has to be classified using a k-nearest neighbor (k-NN) classifier; then, it is matched with the universal tooth numbering system. In order to make exact person identification, this research work is mainly concentrate on contour shape extraction and texture feature extraction for person identification. This work aims to analyze the contour shape extraction and texture feature extraction of both radiographic and photographic images for individual identification. Then, shape matching of AM and PM images is performed by similarity and distance metric for accurate person identification.FindingsThe experimental results are analyzed for shape and feature extraction of both radiographic and photographic dental images. From this analysis, it is proved that the higher hit rate performance is observed for the active contour shape extraction model, and it is well suited for forensic odontologists to identify a person in mass disaster situations.Research limitations/implicationsForensic odontology is a branch of human identification that uses dental evidence to identify the victims. In mass disaster circumstances, contours and dental patterns are very useful to extract the shape in individual identification.Originality/valueThe experimental results are analyzed both the contour shape extraction and texture feature extraction of both radiographic and photographic images. From this analysis, it is proved that the higher hit rate performance is observed for the active contour shape extraction model and it is well suited for forensic odontologists to identify a person in mass disaster situations. The findings provide theoretical and practical implications for individual identification of both radiographic and photographic images with a view to accurate identification of the person.

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Research on Surface Roughness of Supersonic Vibration Auxiliary Side Milling for Titanium Alloy

10.21203/rs.3.rs-704632/v1 ◽

2021 ◽

Author(s):

XueTao Wei ◽

caixue yue ◽

DeSheng Hu ◽

XianLi Liu ◽

YunPeng Ding ◽

...

Keyword(s):

Surface Roughness ◽

Finite Element ◽

Prediction Model ◽

Simulation Model ◽

Finite Element Simulation ◽

Simulation Software ◽

Surface Roughness Prediction ◽

Contour Shape ◽

Element Simulation ◽

Roughness Prediction

Abstract The processed surface contour shape is extracted with the finite element simulation software, and the difference value of contour shape change is used as the parameters of balancing surface roughness to construct the infinitesimal element cutting finite element model of supersonic vibration milling in cutting stability domain. The surface roughness trial scheme is designed in the central composite test design method to analyze the surface roughness test result in the response surface methodology. The surface roughness prediction model is established and optimized. Finally, the finite element simulation model and surface roughness prediction model are verified and analyzed through experiment. The research results show that, compared with the experiment results, the maximum error of finite element simulation model and surface roughness prediction model is 30.9% and12.3%, respectively. So, the model in this paper is accurate and will provide the theoretical basis for optimization study of auxiliary milling process of supersonic vibration.

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Extracting Contour Shape of Passenger Car Form in Front View Based on Form Similarity Judgement by Young Chinese Consumers

Lecture Notes in Computer Science - Design, User Experience, and Usability. Application Domains ◽

10.1007/978-3-030-23538-3_6 ◽

2019 ◽

pp. 74-84 ◽

Cited By ~ 1

Author(s):

Chunrong Liu ◽

Qing Xu

Keyword(s):

Chinese Consumers ◽

Passenger Car ◽

Front View ◽

Contour Shape ◽

Similarity Judgement

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Latency Differences to Monochromatic Stimuli Measured by Disjunctive Reaction Time

Perceptual and Motor Skills ◽

10.2466/pms.1975.41.1.55 ◽

1975 ◽

Vol 41 (1) ◽

pp. 55-59 ◽

Cited By ~ 8

Author(s):

Paul D. Jones ◽

Hilde Wilkinson

Keyword(s):

Reaction Time ◽

Experimental Situation ◽

The Subject ◽

Perceptual Latency

Two studies were done in order to assess the effects of wavelength on visual perceptual latency as measured in a disjunctive RT paradigm. The results of the first study, though not statistically significant, suggested a trend toward shorter RT to longer wavelength stimuli. In the second study, using well-practiced subjects, significant differences were found between disjunctive RT to red and green stimuli. The results suggest that latency differences as a function of wavelength are demonstrable in an experimental situation in which the subject must react to chromatic information, as differentiated from brightness information.

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