Papers by Author: Jin Guang Sun

Abstract: A new face image feature extraction and recognition algorithm based on Scale Invariant Feature Transform (SIFT) and Local Linary Patterns (LBP) is proposed in this paper. Firstly, a set of keypoints are extracted from images by using the SIFT algorithm; Secondly, each keypoint is described by LBP patterns; Finally, a combination of the global and local similarity is adopted to calculate the matching results for face images. Calculation results show that the algorithm can reduce the matching dimension of feature points, improve the recognition rate and perspective; it has nice robustness against the interferences such as rotation, lighting and expression.

Abstract: In this paper it proposes a meaningful digital watermarking algorithm for remote sensing image based on DFT and watermarking segmentation. At First, it normalizes the host remote sensing image and determines an invariant centroid, then selects a square area around the invariant centroid for watermark embedding. Next, it generates a pseudo-random sequence as digital watermarking, and divides it into two parts. Finally it applies DFT to the selected region and embeds watermark into DFT phase and amplitude components of the selected square area of the host remote sensing image. Experiments have shown the algorithm’s characteristics of good robustness, simple calculation, easy realization, and extracting watermark without the original remote sensing image, and it has value of copyright protection for remote sensing images.

Abstract: Computer simulation of the flame is difficult to achieve real-time and realistic problem, proposing a fire simulation method based on fluid model and GPU general computing combining. The method is based on the incompressible flame, low-density, non-sticky and so on. Semi-Lagrange method is using to solve the fluid equations, using volume rendering based on 3D texture to rendering the flame. Then, using the method of energy-spectrum of radiation to control the color of the flame, and using the GPU to accelerate in parallel, balance realistic and real time.

Abstract: Skin color detection is an important in computer vision.This work presents a new efficient method for skin color detection based on an improved direct least square ellipse fitting in the space CrCbCg. The color distribution statistics of three-dimensional CrCbCg is obtained by fitting the color distribution ellipse boundary in the Cr-Cb, Cr-Cg, Cb-Cg plane exactly ,finally ,the criteria based on the statistics is used to detect skin color area accurately. Experimental results show that this method improves the robustness of the skin color detection to complex environment.