Mobile terminal 3D image reconstruction program development based on Android Lin Qinhua

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1 Iteratioal Coferece o Automatio, Mechaical Cotrol ad Computatioal Egieerig (AMCCE 05) Mobile termial 3D image recostructio program developmet based o Adroid Li Qihua Sichua Iformatio Techology College 6807 Keywords: 3D image recostructio; curve approximatio; matchig costrait; Abstract: Durig the study process of mobile termial three-dimesioal recostructio program developmet based o Adroid, due to the adoptio of the curret algorithm for 3D image recostructio program developmet, the defiitio of established model is low, leadig to the problem of poor fidelity for 3D image recostructio. Therefore, a Adroid mobile termial 3D image recostructio program developmet method based o improved space curve approximatio algorithm is proposed. Uder Adroid system architecture, the proposed method is based o triagulatio measuremet priciple to calculate ad obtai positio deviatio betwee image pixels, curve small regio matchig feature costrait thought is adopted to costrai features of 3D modelig, withi a small feature space, through collisio relatio betwee scattered image feature poits to set up precise compesatio characteristics of 3D image recostructio, thus greatly ehace the autheticity of 3D image recostructio, ad effectively complete mobile termial 3D image recostructio program developmet uder the framework of Adroid system. Simulatio results show that, Adroid mobile termial 3D image recostructio program developmet method based o improved space curve approximatio algorithm ca meet the applicatio requiremets of mobile termial for 3D image recostructio program developmet. Itroductio I Chia, with the developmet of computer ad etwork applicatio popularizatio, the mobile device has become the mai way for people to acquire iformatio i daily life ad work, ad at the same time, the demad for mobile termial also grow with each passig day (). Mobile termial 3D image recostructio program developmet techology o the Adroid platform help users to get more rich ad colorful services via the Iteret, ad satisfy the urget eeds of the user to access Iteret wheever ad wherever for etertaimet, which attract the attetio of may experts ad scholars (). Sice it has a broad developmet space i the Adroid platform for mobile termial 3D image recostructio program developmet techology, has become the focus topic beig researched i the idustry, ad has bee widespread cocered, also a lot of good method are discovered (3,4,5,6). To solve the above problem, this paper proposes a Adroid mobile termial 3D image recostructio applicatio developmet method based o improved spatial curve approximatio algorithm. Priciple of Adroid-based mobile termial 3D image recostructio program developmet method. Feature costrait process of 3D modelig I the optimizig process of mobile termial 3D image recostructio program developmet f ( xy, ) uder the framework of Adroid system, represets kow image -D coordiates model, f( xy, ) is actual image -D coordiates, determiig the similarity betwee two parameters, the f ( xy, ) = f( xy, ). The expressio i the 3D image recostructio program developmet optimizatio process, ca reflect the gray value of some poit i image template is same to gray value of correspodig value i real images, ad a large umber of iterferig factors exist i the 05. The authors - Published by Atlatis Press 554

2 (, ) real image, resultig i f xy f( xy, ) ad are uable to achieve the matchig, thus, a certai error will be produced, based o triagulatio priciple, through the followig formula to calculate correspodig image matchig error: ω ( x, y) = dx + dy f x y () (, ) (, ) = f xy f xy I the formula, x represets the derivative of pixel gray i the x directio, y represets the derivative of pixel gray i the y directio. Durig the process of optimizatio of mobile termial 3D image recostructio program developmet, curve matchig costrait is used to approximate feature costrait process of three-dimesioal modelig as below: () epipolar costrait of curve segmet. () Uiqueess costrait. (3) Attributes ad gray similarity costrait. I the mobile termial 3D image recostructio program developmet optimizatio process, based o similarity of curve characteristics ca aalyze usig the matchig degree of curve, described as below: mi ( FN ( H H), FN ( HU) ) SIM FN ( H H, HU) = () max ( FN ( H H), FN ( HU) ). The implemetatio of mobile termial 3D image recostructio program developmet optimizatio method based o Adroid Uder Adroid system architecture, durig the optimizatio process of mobil termial 3D image recostructio program, curve small regio matchig feature costrait thought is adopted to costrai features of 3D modelig, withi a small feature space, through collisio relatio betwee scattered image feature poits to set up precise compesatio characteristics of 3D image recostructio, thus greatly ehace the autheticity of 3D image recostructio, ad effectively complete mobile termial 3D image recostructio program developmet uder the framework of Adroid system. The specific steps are detailed: Assumig durig the optimizatio process, the ceter coordiates locatio of the 3D image is determied by the followig formula: p ai uij ci = λij b = i j= v (3) ij Amog them, ci is the sum of i -th image of spatial positio parameters ad weights of all key λij characteristics, is the oise preset i the origial image ad outlier disturbace parameters. The the mea variace algorithm ca be used to obtai the value of iterferece weight parameters. Oly for the directio compoet deviatio reductio. σ ijr of all key details characteristics to process oise The followig formula is used to calculate the sum of the mea variace parameters characteristic image: σijr = σij+ σij (4) The value of λ ij is able to be obtaied through operatio: Qij of 555

3 p p ( σij+ σij) j= lij = p j= ( σlj σlj) + j= (5) Through the above formula ca be leared, weight coefficiet ad directio compoets variace σ parameters ij σ ij ad are related. I the optimizatio process, after determiig the ceter, i order to restore the ormal three-dimesioal image features, the relatioship betwee the feature poits eed to be established, the space positio relatios of XF ad XD is used, described as follow: XF = XF Ak XD = DK+ Ak (6) X F = ( XF. ) XD = ( X p. ) (7) I the formula, X is the directio vector of X F, if the value sig of two 3D image feature D ad D K + ad AKBC K K data is icosistet, the the lie composed of poit taget. Assumig the coordiate of 3D image collisio poit is (, ) coordiate to calculate plae collisio trasform fuctio: (, ) z = f x y = ke e (8) K itersect or xy, z value of correspodig I the formula, k is the umber of shape base, a is the estimatio error i the horizotal directio, b is the estimatio error i the logitudial directio, m represets the 3D image key features poit distributio ad the positio i three-dimesioal space, represeted by the formula: pi( xi, yi, zi), i =,, 3 (9) The above formula is used for logarithmic trasformatio, ad the 3D image feature recovery operatio is coducted, the followig formula ca be obtaied: ( y y 3) x x + y y + ( z z) a = ( x x)( y y3) ( x x3) ( x x3) x x y y ( z z) m b + + = ( x x)( y y3) ( x x3) (0) (, ) z = ke e z = f x y = ke e Through the above stated method, i the Adroid system, precise compesatio characteristics of 3D image recostructio is established, thus greatly ehace the autheticity of 3D image recostructio, ad effectively complete mobile termial 3D image recostructio program developmet uder the framework of Adroid system. 3 simulatio experimets I order to prove that the effectiveess of Adroid mobile termial 3D image recostructio 556

4 program developmet method based o improved spatial curve approximatio algorithm, there is the eed for a experimet, experimet operatio eviromet is: Matlab6.O, widows operatig system, CPU,, Dual Core Petium G memory. Experimet samples were chose from a group of image test data from mobile termial 3D image recostructio system uder Adroid system framework, the traditioal method ad Adroid mobile termial 3D image recostructio program developmet method based o the improved space curve approximatio algorithm were adopted. Two differet algorithms were utilized i experimets for mobile termial 3D image recostructio measuremet i the Adroid system, the results are show i table. Fig. Compariso of measured values obtaied with differet algorithms It ca be see from Fig., the measured value of proposed algorithm ad actual measured value have better matchig ad higher accuracy. Sice uder Adroid system architecture, the proposed method is based o triagulatio measuremet priciple to calculate ad obtai positio deviatio betwee image pixels, curve small regio matchig feature costrait thought is adopted to costrai features of 3D modelig, withi a small feature space, through collisio relatio betwee scattered image feature poits to set up precise compesatio characteristics of 3D image recostructio, thus greatly ehace the autheticity of 3D image recostructio. While the measured value of traditioal algorithm has a big differece from actual value, results i sigificat deviatio. The experimet ca prove that the Adroid mobile termial 3D image recostructio program developmet method based o improved spatial curve approximatio algorithm has high precisio ad strog practicability. 4 Coclusios With the adoptio of the curret algorithm for 3D image recostructio program developmet, the defiitio of established model is low, leadig to the problem of poor fidelity for 3D image recostructio. Therefore, a Adroid mobile termial 3D image recostructio program developmet method based o improved space curve approximatio algorithm is proposed. Uder Adroid system architecture, the proposed method is based o triagulatio measuremet priciple to calculate ad obtai positio deviatio betwee image pixels, curve small regio matchig feature costrait thought is adopted to costrai features of 3D modelig, withi a small feature space, through collisio relatio betwee scattered image feature poits to set up precise compesatio characteristics of 3D image recostructio, thus greatly ehace the autheticity of 3D image recostructio, ad effectively complete mobile termial 3D image recostructio program developmet uder the framework of Adroid system. Simulatio results show that, Adroid mobile termial 3D image recostructio program developmet method based o improved space curve approximatio algorithm ca meet the applicatio requiremets of mobile termial for 3D image recostructio program developmet. Refereces [] Fa Zheyi, Zhou Zhiguo, Liu Zhiwe, Pa Limi, He Bigsog. Image trackig experimet system based o TMS30DM64 ad modellig desig [J]. Experimetal techology ad maagemet.03.3:

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