In this paper, we propose a method that constructs a saliency map in which important regions are accurately specified and the colors of the regions are less influenced by the similar surrounding colors.
Our method utilizes LBP(Local Binary Pattern) histogram information to compare and analyze textureinformation of surrounding regions in order to reduce the effect of color information. We extract the saliency of stereoscopic images by integrating a 2D saliency map with depth information of stereoscopic images. We then measure the distance between two different sizes of the LBP histograms that are generated from pixels. The distance we measure is texture difference between the surrounding regions.We then assign a saliency value according to the distance in LBP histogram. To evaluate our experimental results, we measure the F-measure compared to ground-truth by thresholding a saliency map at 0.8. 카이 제곱 거리해밍 거리 N euron, Vol. 37, No. 5, pp. 853-863, 2003.[ 5 ] J. Zhu, Y. Qiu, R. Zhang, J. Huang, and W.Zhang, "Top-Down Saliency Detection via Contextual Pooling," J ournal of Signal P rocessing Systems, Vol. 74, No. 1, pp. 33-46, 2014.[ 6 ] S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-Aware Saliency Detection," I EEE Transactions on P attern Analysis and M achine I ntelligence, Vol. 34, No. 10, pp. 1915-1926, 2012. Computer Vision, Vol. 2, No. 3, pp. 283-310, 1989.[11] D. Terzopoulos, "Regularization of Inverse Visual Problems Involving Discontinuities,"I EEE Transactions on P attern Analysis and M achine I ntelligence, Vol. 8, No. 4, pp. 413-424, 1986. [12] S. Birchfield and C. Tomasi, "A Pixel Dissimilarity Measure That is Insensitive to Image Sampling," I EEE Transactions on P attern Analysis and M achine I ntelligence, Vol. 20, No. 4, pp. 401-406, 1998.[13] D. Marr and T. Poggio, "Cooperative Computation of Stereo Disparity," Science, Vol. 194, No. 4262, pp. 283-287, 1976.
ABSTRACTIn this paper, we propose a new method of eye, face, and lip makeup techniques on the target face