Texturing and deforming models with casual images

I. Chao Shen*, Sheng Jie Luo, Yi Hua Wang, Yu Mei Chen, Bing Yu Chen, Wen-Huang Cheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Is an important task in computer graphics. However, if the object shape of the casual image is not similar to the target model, the textured model would be strange since the image is severely distorted. In this extended abstract, we present a novel texturing and deforming approach for mapping the texture and object shape of a casual image to a 3D model simultaneously based on an alternating leastsquare approach. Through a photogrammetric method, we project the target model onto the source image according to the estimated camera parameters.Then, the target model is deformed according to the object shape of the source image while minimizing the image distortion. The processes are performed iteratively.Our method can achieve texture mapping, shape deformation, and detail-preserving at once, and can obtain more reasonable texture mapped results than traditional methods. Copyright is held by the author / owner(s).

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2012 Posters, SA 2012
StatePublished - 31 Dec 2012
EventSIGGRAPH Asia 2012 Posters, SA 2012 - Singapore, Singapore
Duration: 28 Nov 20121 Dec 2012

Publication series

NameSIGGRAPH Asia 2012 Posters, SA 2012


ConferenceSIGGRAPH Asia 2012 Posters, SA 2012

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