Accurate 2D and 3D images classification using translation and scale invariants of Meixner moments

2021 ◽  
Author(s):  
M. Yamni ◽  
A. Daoui ◽  
O. El ogri ◽  
H. Karmouni ◽  
M. Sayyouri ◽  
...  
Keyword(s):  
3D Images ◽  
Meixner Moments ◽  
2D And 3D ◽  
Scale Invariants

scholarly journals Do 3D Face Images Capture Cues of Strength, Weight, and Height Better than 2D Face Images do?

2021 ◽  
Vol 7 (3) ◽  
pp. 209-219
Author(s):  
Iris J Holzleitner ◽  
Alex L Jones ◽  
Kieran J O’Shea ◽  
Rachel Cassar ◽  
Vanessa Fasolt ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Physical Characteristics ◽  
Two Dimensional ◽  
3D Images ◽  
3D Face ◽  
Face Images ◽  
Similar Accuracy ◽  
2D And 3D ◽  
2D Images ◽  
Better Than

Abstract Objectives A large literature exists investigating the extent to which physical characteristics (e.g., strength, weight, and height) can be accurately assessed from face images. While most of these studies have employed two-dimensional (2D) face images as stimuli, some recent studies have used three-dimensional (3D) face images because they may contain cues not visible in 2D face images. As equipment required for 3D face images is considerably more expensive than that required for 2D face images, we here investigated how perceptual ratings of physical characteristics from 2D and 3D face images compare. Methods We tested whether 3D face images capture cues of strength, weight, and height better than 2D face images do by directly comparing the accuracy of strength, weight, and height ratings of 182 2D and 3D face images taken simultaneously. Strength, height and weight were rated by 66, 59 and 52 raters respectively, who viewed both 2D and 3D images. Results In line with previous studies, we found that weight and height can be judged somewhat accurately from faces; contrary to previous research, we found that people were relatively inaccurate at assessing strength. We found no evidence that physical characteristics could be judged more accurately from 3D than 2D images. Conclusion Our results suggest physical characteristics are perceived with similar accuracy from 2D and 3D face images. They also suggest that the substantial costs associated with collecting 3D face scans may not be justified for research on the accuracy of facial judgments of physical characteristics.

Comparing Reliability Between 3D Imaging And 2D Photography For External Nasal Anthropometry

2021 ◽  
Author(s):  
Yoon-Soo Seo ◽  
Ki-Hun Jo ◽  
Jun-Sang CHA ◽  
Joo-Yeon Kim ◽  
Jae-Hwan Kwon
Keyword(s):  
3D Imaging ◽  
Intraclass Correlation ◽  
Digital Camera ◽  
Angular Parameter ◽  
Good Reliability ◽  
Rater Reliability ◽  
3D Images ◽  
Imaging Result ◽  
External Nose ◽  
2D And 3D

Abstract Background: This study investigates and compare the reliability and reproducibility of two facial anthropometric methods about external nasal angles, 3D imaging and conventional 2D photography. Methods: 2D photograph images and 3D images about external nose of 30 volunteers were taken using digital camera and Morpheus 3D scanner. To evaluate intra-rater reliability, each images were taken over two different days for each subject by the same researcher. To evaluate inter-rater reliability, another researcher took each images for each subject on the first day. The reliability of each method for measuring 4 external nasal angle is obtained using intraclass correlation coefficient (ICC) and compared.Results: Inter-rater and intra-rater reliability of both 3D imaging and 2D photography had excellent agreement in all 4 nasal angles. In the nasofacial angular parameter, Inter-rater ICC, 2D photography was significantly higher than 3D imaging. Result of intra-rater ICC also showed both 3D imaging and 2D photography had good reliability in all 4 nasal angles. Similar to those of inter-rater ICC, nasofacial angular parameter showed statistically significant differences between 3D imaging and 2D photography.Conclusion: In terms of reliability, both 2D and 3D showed appropriate anthropometric results and considering its own advantage, each methods can be used complementarily.

A Visual Simulation System Based on QT-STKX Research

2014 ◽  
Vol 610 ◽  
pp. 653-657
Author(s):  
Shi Xuan Liu ◽  
Xin Hong Li ◽  
Jun Kang Zeng
Keyword(s):  
Satellite Images ◽  
Satellite Orbit ◽  
Dynamics Simulation ◽  
Visual Simulation ◽  
Incident Response ◽  
3D Images ◽  
Operating Process ◽  
Machine Interface ◽  
And Control ◽  
2D And 3D

STK is the important tool of satellite simulation and analysis, it can be intuitive and vivid reflects the state of satellite orbit. The STKX component allows user code to respond by writing incident response and control the user to the operation of the GUI interface STK components, in order to enhance the application of interactive ability. In this paper, through the application of the STKX component, and the design of Qt Chinese interface, realize the function of orbit dynamics simulation, 2D and 3D images and satellite images show function; To realize the Two-way exchange of information. Convenient man-machine interface and Chinese interface implements the intuitive and mutual assistance, and operating process of the simulation.

COMPARISON OF PROSTATE LOCALIZATION WITH 2D-2D AND 3D IMAGES

2009 ◽  
Vol 92 ◽  
pp. S179-S180
Author(s):  
A. Logadottir ◽  
S. Korreman ◽  
P.M. Petersen
Keyword(s):  
3D Images ◽  
2D And 3D

Block Equivalence Algorithm for Labeling 2D and 3D Images on GPU

2016 ◽  
Vol 2016 (2) ◽  
pp. 1-7 ◽  
Author(s):  
Sergey Zavalishin ◽  
Ilia Safonov ◽  
Yury Bekhtin ◽  
Ilia Kurilin
Keyword(s):  
3D Images ◽  
2D And 3D

scholarly journals A Case-control Study of 3D versus 2D Weight Bearing CT Measurements of the M1-M2 Intermetatarsal Angle in Hallux Valgus

2018 ◽  
Vol 3 (3) ◽  
pp. 2473011418S0032
Author(s):  
Francois Lintz ◽  
Arne Burssens ◽  
Alesio Bernasconi ◽  
Martin O’Malley ◽  
Rémi Raclot ◽  
...  
Keyword(s):  
Hallux Valgus ◽  
Weight Bearing ◽  
Intraclass Correlation ◽  
Intraobserver Reliability ◽  
3D Images ◽  
Intermetatarsal Angle ◽  
Mean Values ◽  
3D Measurements ◽  
2D And 3D ◽  
2D Images

Category: Midfoot/Forefoot Introduction/Purpose: Surgical planning based on angular measurements obtained on conventional radiographs is challenging due to perspective distortion and operator bias. Novel weightbearing CT (WBCT) three-dimensional (3D) measurements using coordinate systems may represent a more reliable and accurate evaluation of this 3D deformity. The objective of this study was to compare the M1-M2 intermetatarsal angle (IMA) obtained manually on WBCT digitally reconstructed 2D radiographs versus a set of coordinates from the full 3D dataset, in patients with hallux valgus (HV) deformity and in healthy controls. We hypothesised that the 3D measurements would be more reliably obtained, demonstrating different values when compared to 2D radiographic measurements. Methods: In this multicenter retrospective comparative study, 83 feet that underwent WBCT of the foot were included (41 HV: mean age 59, 81% female, 42 controls: mean age 52, 80% female). Datasets were analysed by three independent trained foot and ankle surgeons using the same protocol. Coordinates in three planes (x, y, z) of four different landmark points were harvested: center of the heads and midpoint of the proximal metaphysis of the 1st and 2nd metatarsal. The IMA measurements were then performed in reconstructed radiographic images (DRR-IMA). The data collected was then analyzed by a single 4th independent and blinded investigator who calculated the 3D angle (3D-IMA) and its projection on the weightbearing plane (2D-IMA). Intra-observer realiability was assessed by Pearson/Spearman’s correlation. Intermethod correlation was evaluated by intraclass correlation coefficient (ICC). Mean values for measures were comparared by One-way ANOVA. P-values of less than 0.05 were considered significant. Results: Intraobserver reliability was excellent for radiographic DRR-IMA (0.95) and 3D coordinates assessment (0.99). Intermethod correlation between the three different imaging modalities (DDR, 2D and 3D), considering bias and interactions, were respectively 0.71 and 0.51 in control and HV patients. IMA measurements were found to be similar when measured in DRR, 2D and 3D WBCT images, for both controls and HV patients. Mean values and confidence intervals (CI) for controls were 8.8 degrees (CI, 7.9-9.7) in DDR images, 9.8 degrees (CI, 8.7-10.9) in 2D images and 10.6 degrees (CI, 9.5-11.8) in 3D images. When compared to controls, HV patients demonstraded significantly increased IMA (p<0.05): 13.06 degrees (CI, 11.8-14.3) in DDR images, 12.1 degrees (CI, 10.8-13.3) in 2D images and 13.3 degrees (CI, 12.3-14.3) in 3D images. Conclusion: We found that similar values for IMA were measured in 2D reconstructed radiographs, WBCT 3D and 2D projected images. When compared to controls, HV patients were found to have increased IMA in all three different imaging types used (DDR, 2D and 3D). Intermethod correlation was higher for IMA performed in controls. Intraobserver reliability was excellent for both radiographic IMA measurements and WBCT 3D coordinates. Our study is the first study to evaluate measurements of the 3D-IMA in HV and control patients. Further investigations are required before guidelines for its clinical use can be formulated.

Detection of significant features and statistical analysis of 2D and 3D images of31p metabolites

1992 ◽  
Vol 25 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Sarah J. Nelson ◽  
Daniel B. Vigneron ◽  
Truman R. Brown
Keyword(s):  
Statistical Analysis ◽  
3D Images ◽  
2D And 3D

Fast 3D Human Face Modeling Method Based on Multiple View 2D Images

2013 ◽  
Vol 273 ◽  
pp. 796-799
Author(s):  
Yong Sheng Wang
Keyword(s):  
Gabor Filter ◽  
Visual Features ◽  
Translation Vector ◽  
Human Face ◽  
Face Modeling ◽  
3D Images ◽  
Multiple View ◽  
Novel Approach ◽  
2D And 3D ◽  
2D Images

This paper presents a novel approach to model 3D human face from multiple view 2D images in a fast mode. Our proposed method mainly includes three steps: 1) Face Recognition from 2D images, 2) Converting 2D images to 3D images, 3) Modeling 3D human face. To extract visual features of both 2D and 3D images, visual features adopted in 3D are described by Point Signature, and visual features utilized in 2D is represented by Gabor filter responses. Afterwards, 3D model is obtained by combining multiple view 2D images through calculating projections vector and translation vector. Experimental results show that our method can model 3D human face with high accuracy and efficiency.

An algebraic approach for morphological operations on 2D and 3D images

1993 ◽  
Vol 26 (12) ◽  
pp. 1785-1796 ◽  
Author(s):  
Prabir Bhattacharya ◽  
Kai Qian ◽  
Xun Lu
Keyword(s):  
Algebraic Approach ◽  
Morphological Operations ◽  
3D Images ◽  
2D And 3D
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