IEEE Trans Vis Comput Graph - Statistical Invariance for Texture Synthesis.

Tópicos

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Resumo

Estimating illumination and deformation fields on textures is essential for both analysis and application purposes. Traditional methods for such estimation usually require complicated and sometimes labor-intensive processing. In this paper, we propose a new perspective for this problem and suggest a novel statistical approach which is much simpler and more efficient. Our experiments show that many textures in daily life are statistically invariant in terms of colors and gradients. Variations of such statistics can be assumed to be influenced by illumination and deformation. This implies that we can inversely estimate the spatially varying illumination and deformation according to the variation of the texture statistics. This enables us to decompose a texture photo into an illumination field, a deformation field, and an implicit texture which are illumination- and deformation-free, within a short period of time, and with minimal user input. By processing and recombining these components, a variety of synthesis effects, such as exemplar preparation, texture replacement, surface relighting, as well as geometry modification, can be well achieved. Finally, convincing results are shown to demonstrate the effectiveness of the proposed method.

Resumo Limpo

estim illumin deform field textur essenti analysi applic purpos tradit method estim usual requir complic sometim laborintens process paper propos new perspect problem suggest novel statist approach much simpler effici experi show mani textur daili life statist invari term color gradient variat statist can assum influenc illumin deform impli can invers estim spatial vari illumin deform accord variat textur statist enabl us decompos textur photo illumin field deform field implicit textur illumin deformationfre within short period time minim user input process recombin compon varieti synthesi effect exemplar prepar textur replac surfac relight well geometri modif can well achiev final convinc result shown demonstr effect propos method

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