中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共5条，第1-5条

帮助

条数/页：排序方式：
	A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文 OAI收割 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China 作者: Wang Y.; Liu G.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 This paper presents a new fast target recognition algorithm the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm it is also robust to affine transform light projective transform noise thin fog occlusion and illumination change. the performed experiments show that it has fast searching speed and can accurately recognize and locate target in real scenes. 2012 IEEE.
	Study on chromaticity balance for LED exposure system (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2007 - Laser, Ultraviolet, and Terahertz Technology, September 9, 2007 - September 12, 2007, Beijing, China 作者: Meng Z.; Meng Z. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 A standard white light compounding algorithm based on combination of CCD illumination acquisition with computer control is presented for LEDs. The computer adjust and control the working current of LEDs by using three-color LEDs illumination acquired by CCD camera achieved chromaticity coordinates error between compounded white light and standard white light D65 less than the threshold beforehand setted by this technique then acquiring needed standard white light. Compounded white light meet the chromaticity error demand that is able to be changed at the same time the CCD illumination acquisition system is eliminated. The proposed algorithm improved the light energy utilization efficiency of LED and eliminated the offset of central wavelength and chromaticity coordinates due to work current change of LEDs. Experimental results show that the proposed algorithm achieved lesser chromaticity error uv=0.001 relative to standard white light D65 enhanced chromaticity uniformity of illumination field.
	Study on chroma balance based on grating spectrometer for LED (EI CONFERENCE) 会议论文 OAI收割 Light-Emitting Diode Materials and Devices II, November 12, 2007 - November 14, 2007, Beijing, China 作者: Meng Z.; Meng Z. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 A standard white light compounding algorithm based on combination of choma coordinates acquisition system with computer working current control system is presented for three-color LED. The chroma coordinates acquisition system consist of grating spectrometer and integrating sphere. The computer adjust and control the working current of three-color LED then achieved chroma coordinates error between the compounded white light and standard white light D65 until the chroma coordinates is less than the threshold beforehand set by this technique. The compounded white light meet the chroma error demanded that is able to be changed at the same time the chroma coordinates acquisition system and the working current control system are eliminated. The proposed algorithm the offset of central wavelength and the change of chroma coordinates due to working current variety for LEDs. Experimental results show that the proposed algorithm achieved lesser chroma error uv=0.001 relative to standard white light D65 enhanced chroma uniformity of illumination field.
	Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.
	人脸识别中的光照子空间的构造与分析学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2005 刘俊收藏 \| 浏览/下载：45/0 \| 提交时间：2015/09/02 光线变化 illumination change face recognition illumination subspace illumination normalization shadow removal 人脸识别光照子空间光照归一化阴影消除