A novel approach to digital breast tomosynthesis for simultaneous acquisition of 2D and 3D images

2010 ◽  
Vol 21 (6) ◽  
pp. 1207-1213 ◽  
Author(s):  
Sara Vecchio ◽  
Achille Albanese ◽  
Paolo Vignoli ◽  
Angelo Taibi
2013 ◽  
Vol 273 ◽  
pp. 796-799
Author(s):  
Yong Sheng Wang

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.


Research ◽  
2014 ◽  
Vol 1 ◽  
Author(s):  
Samantha Zuckerman ◽  
Laurie Margolies ◽  
Stuart Cohen ◽  
John Mandeli ◽  
Raja Subramaniam ◽  
...  

2015 ◽  
Author(s):  
Raymond J. Acciavatti ◽  
Shonket Ray ◽  
Brad M. Keller ◽  
Andrew D. A. Maidment ◽  
Emily F. Conant

2021 ◽  
Vol 134 ◽  
pp. 109407
Author(s):  
T. Amir ◽  
S.P Zuckerman ◽  
B. Barufaldi ◽  
A.D Maidment ◽  
E.F Conant

2021 ◽  
Vol 7 (3) ◽  
pp. 209-219
Author(s):  
Iris J Holzleitner ◽  
Alex L Jones ◽  
Kieran J O’Shea ◽  
Rachel Cassar ◽  
Vanessa Fasolt ◽  
...  

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.


Author(s):  
M. Yamni ◽  
A. Daoui ◽  
O. El ogri ◽  
H. Karmouni ◽  
M. Sayyouri ◽  
...  

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