Recovering parameters from a sub-optimal image
AssigneeMicrosoft Corporation
InventorsZhengyou Zhang, Zicheng Liu, Gang Hua, Yang Wang
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AssigneeMicrosoft Corporation
InventorsZhengyou Zhang, Zicheng Liu, Gang Hua, Yang Wang
Estimating the term…
A subregion-based image parameter recovery system and method for recovering image parameters from a single image containing a face taken under sub-optimal illumination conditions. The recovered image parameters (including albedo, illumination, and face geometry) can be used to generate face images under a new lighting environment. The method includes dividing the face in the image into numerous smaller regions, generating an albedo morphable model for each region, and using a Markov Random Fields (MRF)-based framework to model the spatial dependence between neighboring regions. Different types of regions are defined, including saturated, shadow, regular, and occluded regions. Each pixel in the image is classified and assigned to a region based on intensity, and then weighted based on its classification. The method decouples the texture from the geometry and illumination models, and then generates an objective function that is iteratively solved using an energy minimization technique to recover the image parameters.
A method for processing an image containing a face, comprising:
A computer-readable storage medium having computer-executable instructions stored thereon for changing an illumination condition of an image containing a face, comprising:
A computer-implemented process for improving an illumination of a single image containing a face and taken under sub-optimal illumination conditions, comprising:
Dependencies are inferred from the claim text.