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Paper Abstract and Keywords
Presentation 2014-03-17 15:20
Estimate the triaxial gradients of skew symmetric shapes using asymmetry of outline of the shapes on a neural network model
Takashi Sugiura, Kazushi Murakoshi (Toyohashi Univ. Tech.)
Abstract (in Japanese) (See Japanese page) 
(in English) It is possible for humans to estimate the gradients of the depth direction of the object in monocular. Some researchers proposed estimation methods which were just based on image processing. In this paper, we propose a method to estimate the gradients close to human visual processing. For verification of method, we estimated the gradients of skew symmetric shapes (symmetric shape tilted in the direction of depth). This model calculate asymmetry of the outline of the shapes by neural network model. It regards this value as features. It calculated the features on square which rotated around the horizontal axis, vertical axis, and depth axis. Then, it learned the features by multilayer perceptron using error back propagation method. Thereafter, it estimated the gradients of other shapes after learning square. As a result, this model could estimate the gradients at 8.21 degrees average error on rectangle, at 6.47 degrees on trapezoid, and at 22.20 degrees on teardrop-shapes, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) estimate the gradients / skew symmetric shapes / asymmetry of the outline / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 500, NC2013-98, pp. 59-62, March 2014.
Paper # NC2013-98 
Date of Issue 2014-03-10 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee NC MBE  
Conference Date 2014-03-17 - 2014-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2014-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimate the triaxial gradients of skew symmetric shapes using asymmetry of outline of the shapes on a neural network model 
Sub Title (in English)  
Keyword(1) estimate the gradients  
Keyword(2) skew symmetric shapes  
Keyword(3) asymmetry of the outline  
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1st Author's Name Takashi Sugiura  
1st Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. Tech.)
2nd Author's Name Kazushi Murakoshi  
2nd Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. Tech.)
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Speaker
Date Time 2014-03-17 15:20:00 
Presentation Time 20 
Registration for NC 
Paper # IEICE-NC2013-98 
Volume (vol) IEICE-113 
Number (no) no.500 
Page pp.59-62 
#Pages IEICE-4 
Date of Issue IEICE-NC-2014-03-10 


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