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- W2362587148 abstract "One of the key problems of appearance based head pose estimation methods is to find the proper image descriptors which are closely related to the head pose variations.This paper describes a second order histogram of the orientation gradient(HOG) based head pose image representation for head pose estimation in still images.The image is divided into a grid of cells with the HOG computed for each cell.Then a pair wise relationship vector among the bins of neighboring HOGs is computed with all the pair wise relationship vectors then concatenated to form the final descriptor.The second order HOG is used to encode the second order statistics of the gradient orientation distribution to accurately describe the pose variations.Tests show that this method is more accurate than the two state-of-the-art methods using the original HOG and the GaFour method." @default.
- W2362587148 created "2016-06-24" @default.
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- W2362587148 date "2011-01-01" @default.
- W2362587148 modified "2023-09-23" @default.
- W2362587148 title "Head pose estimation based on a second order histogram of the orientation gradient" @default.
- W2362587148 hasPublicationYear "2011" @default.
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