Facial Component Detection for Efficient Facial Characteristic Point Extraction

Unconstrained e-Book Control Program by Detecting Facial Characteristic Point and Tracking in Real-time

Journal of Biomedical Engineering Research ◽

10.9718/jber.2014.35.2.14 ◽

2014 ◽

Vol 35 (2) ◽

pp. 14-18

Author(s):

Hyun-Woo Kim ◽

Joo-Yong Park ◽

Jeong-Jick Lee ◽

Young-Ro Yoon

Keyword(s):

Real Time ◽

Characteristic Point ◽

Control Program ◽

Facial Characteristic

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Modeling of Bridging Law for Bundled Aramid Fiber-Reinforced Cementitious Composite and its Adaptability in Crack Width Evaluation

Materials ◽

10.3390/ma14010179 ◽

2021 ◽

Vol 14 (1) ◽

pp. 179

Author(s):

Daiki Sunaga ◽

Takumi Koba ◽

Toshiyuki Kanakubo

Keyword(s):

Fiber Orientation ◽

Crack Width ◽

Volume Fraction ◽

Characteristic Point ◽

Crack Opening ◽

Aramid Fiber ◽

Cementitious Composite ◽

Fiber Reinforced ◽

Cross Sectional ◽

Bridging Law

Tensile performance of fiber-reinforced cementitious composite (FRCC) after first cracking is characterized by fiber-bridging stress–crack width relationships called bridging law. The bridging law can be calculated by an integral calculus of forces carried by individual fibers, considering the fiber orientation. The objective of this study was to propose a simplified model of bridging law for bundled aramid fiber, considering fiber orientation for the practical use. By using the pullout characteristic of bundled aramid fiber obtained in the previous study, the bridging laws were calculated for various cases of fiber orientation. The calculated results were expressed by a bilinear model, and each characteristic point is expressed by the function of fiber-orientation intensity. After that, uniaxial tension tests of steel reinforced aramid-FRCC prism specimens were conducted to obtain the crack-opening behavior and confirm the adaptability of the modeled bridging laws in crack-width evaluation. The experimental parameters are cross-sectional dimensions of specimens and volume fraction of fiber. The test results are compared with the theoretical curves calculated by using the modeled bridging law and show good agreements in each parameter.

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Blue as an Underrated Alternative to Green: Photoplethysmographic Heartbeat Intervals Estimation under Two Temperature Conditions

Sensors ◽

10.3390/s21124241 ◽

2021 ◽

Vol 21 (12) ◽

pp. 4241

Author(s):

Evgeniia Shchelkanova ◽

Liia Shchapova ◽

Alexander Shchelkanov ◽

Tomohiro Shibata

Keyword(s):

Blue Light ◽

Characteristic Point ◽

Biological Effects ◽

Green Light ◽

Estimation Accuracy ◽

Lower Sensitivity ◽

Light Spectrum ◽

Cardiovascular Parameter ◽

Temperature Conditions ◽

Characteristic Points

Since photoplethysmography (PPG) sensors are usually placed on open skin areas, temperature interference can be an issue. Currently, green light is the most widely used in the reflectance PPG for its relatively low artifact susceptibility. However, it has been known that hemoglobin absorption peaks at the blue part of the spectrum. Despite this fact, blue light has received little attention in the PPG field. Blue wavelengths are commonly used in phototherapy. Combining blue light-based treatments with simultaneous blue PPG acquisition could be potentially used in patients monitoring and studying the biological effects of light. Previous studies examining the PPG in blue light compared to other wavelengths employed photodetectors with inherently lower sensitivity to blue, thereby biasing the results. The present study assessed the accuracy of heartbeat intervals (HBIs) estimation from blue and green PPG signals, acquired under baseline and cold temperature conditions. Our PPG system is based on TCS3472 Color Sensor with equal sensitivity to both parts of the light spectrum to ensure unbiased comparison. The accuracy of the HBIs estimates, calculated with five characteristic points (PPG systolic peak, maximum of the first PPG derivative, maximum of the second PPG derivative, minimum of the second PPG derivative, and intersecting tangents) on both PPG signal types, was evaluated based on the electrocardiographic values. The statistical analyses demonstrated that in all cases, the HBIs estimation accuracy of blue PPG was nearly equivalent to the G PPG irrespective of the characteristic point and measurement condition. Therefore, blue PPG can be used for cardiovascular parameter acquisition. This paper is an extension of work originally presented at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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Facial component detection in thermal imagery

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops ◽

10.1109/cvprw.2010.5543605 ◽

2010 ◽

Cited By ~ 20

Author(s):

Brais Martinez ◽

Xavier Binefa ◽

Maja Pantic

Keyword(s):

Thermal Imagery ◽

Facial Component

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The midpoint method: Magnetic interpretation of dikes and faults

Geophysics ◽

10.1190/1.1441958 ◽

1985 ◽

Vol 50 (5) ◽

pp. 834-839 ◽

Cited By ~ 10

Author(s):

I. V. Radhakrishna Murthy

Keyword(s):

Characteristic Point ◽

The Other ◽

Magnetic Interpretation ◽

Midpoint Method ◽

Vertical Gradients

A method of magnetic interpretation of arbitrarily magnetized dikes and faults is developed, based on the properties of a new characteristic point called the “midpoint.” Anomaly profiles at two levels are considered, the maximum and minimum anomalies on them are located, and their midpoints are plotted. The rate of shift of the midpoint with elevation is a measure of the direction of magnetization. The distances between the points of maximum and minimum anomalies and the ratio of horizontal to vertical gradients in the case of faults are used to calculate the other parameters. I also suggest application of the method to anomalies of sheet‐like bodies.

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CCD Camera Calibration Technology Based on the Translation of Coordinate Measuring Machine

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.568-570.320 ◽

2014 ◽

Vol 568-570 ◽

pp. 320-325 ◽

Cited By ~ 2

Author(s):

Feng Shan Huang ◽

Li Chen

Keyword(s):

Coordinate System ◽

Camera Calibration ◽

Characteristic Point ◽

Coordinate Measuring Machine ◽

Ccd Camera ◽

Mathematic Model ◽

Calibration Method ◽

Calibration Characteristic ◽

Standard Sphere ◽

Measuring Machine

A new CCD camera calibration method based on the translation of Coordinate Measuring Machine (CMM) is proposed. The CMM brings the CCD camera to produce the relative translation with respect to the center of the white ceramic standard sphere along the X, Y, Z axis, and the coordinates of the different positions of the calibration characteristic point in the probe coordinate system can be generated. Meanwhile, the camera captures the image of the white ceramic standard sphere at every position, and the coordinates of the calibration characteristic point in the computer frame coordinate system can be registered. The calibration mathematic model was established, and the calibration steps were given and the calibration system was set up. The comparing calibration result shows that precision of this method is equivalent to that of the special calibration method, and the difference between the calibrating data of these two methods is within ±1μm.

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Simplification algorithm of denture point cloud based on feature preserving

Journal of Computational Methods in Sciences and Engineering ◽

10.3233/jcm-215541 ◽

2021 ◽

pp. 1-14

Author(s):

Shigang Wang ◽

Shuai Peng ◽

Jiawen He

Keyword(s):

Point Cloud ◽

Clustering Algorithm ◽

Characteristic Point ◽

Cloud Model ◽

Average Distance ◽

Normal Vector ◽

Sampling Point ◽

Characteristic Region ◽

K Value ◽

Feature Preserving

Due to the point cloud of oral scan denture has a large amount of data and redundant points. A point cloud simplification algorithm based on feature preserving is proposed to solve the problem that the feature preserving is incomplete when processing point cloud data and cavities occur in relatively flat regions. Firstly, the algorithm uses kd-tree to construct the point cloud spatial topological to search the k-Neighborhood of the sampling point. On the basis of that to calculate the curvature of each point, the angle between the normal vector, the distance from the point to the neighborhood centroid, as well as the standard deviation and the average distance from the point to the neighborhood on this basis, therefore, the detailed features of point cloud can be extracted by multi-feature extraction and threshold determination. For the non-characteristic region, the non-characteristic point cloud is spatially divided through Octree to obtain the K-value of K-means clustering algorithm and the initial clustering center point. The simplified results of non-characteristic regions are obtained after further subdivision. Finally, the extracted detail features and the reduced result of non-featured region will be merged to obtain the final simplification result. The experimental results show that the algorithm can retain the characteristic information of point cloud model better, and effectively avoid the phenomenon of holes in the simplification process. The simplified results have better smoothness, simplicity and precision, and are of high practical value.

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A TYPE-FREE THEORY OF HALF-MONOTONE INDUCTIVE DEFINITIONS

International Journal of Foundations of Computer Science ◽

10.1142/s0129054195000147 ◽

1995 ◽

Vol 06 (03) ◽

pp. 203-234 ◽

Cited By ~ 2

Author(s):

YUKIYOSHI KAMEYAMA

Keyword(s):

Type Theory ◽

Characteristic Point ◽

Logical Theory ◽

Inductive Definition ◽

Program Extraction ◽

First Order ◽

Inductive Definitions ◽

Free Theory ◽

Program Proof ◽

Definition Of

This paper studies an extension of inductive definitions in the context of a type-free theory. It is a kind of simultaneous inductive definition of two predicates where the defining formulas are monotone with respect to the first predicate, but not monotone with respect to the second predicate. We call this inductive definition half-monotone in analogy of Allen’s term half-positive. We can regard this definition as a variant of monotone inductive definitions by introducing a refined order between tuples of predicates. We give a general theory for half-monotone inductive definitions in a type-free first-order logic. We then give a realizability interpretation to our theory, and prove its soundness by extending Tatsuta’s technique. The mechanism of half-monotone inductive definitions is shown to be useful in interpreting many theories, including the Logical Theory of Constructions, and Martin-Löf’s Type Theory. We can also formalize the provability relation “a term p is a proof of a proposition P” naturally. As an application of this formalization, several techniques of program/proof-improvement can be formalized in our theory, and we can make use of this fact to develop programs in the paradigm of Constructive Programming. A characteristic point of our approach is that we can extract an optimization program since our theory enjoys the program extraction theorem.

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