1. A method of representing, modeling, or coding object properties of a 3-dimensional object by using global and local components of a plurality of resolutions to adjust a 3-dimensional model of a 3-dimensional object comprising the following method steps: breaking said object properties into 3-dimensional modes based on spatial frequency; segmenting high frequency 3-dimensional modes into regional segments corresponding to specific features of said 3-dimensional object properties and performing a coarse-to-fine transition of the modes via an approximating subdivision scheme; computing a Principal Component Analysis (PCA) of said regional segments individually; combining a hierarchy of global and local components which are gradually decreasing in size of support into a linear statistical model; wherein, by performing said method, a global to local model of at least a portion of the 3-dimensional object is obtained, wherein said 3-dimensional model is computed using a 3-dimensional surface model of said 3-dimensional object from said single photograph using said global and local components; wherein global and local features are stacked into a single feature vector; wherein different masks are used for different levels.