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	Camera-based Basketball Scoring Detection Using Convolutional Neural Network 期刊论文 OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 266-276 作者: Xu-Bo Fu \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2021/04/22 Computer vision convolutional neural network (CCN) frame difference motion detection object detection real-time system
	Object-difference drived graph convolutional networks for visual question answering 期刊论文 OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 19 作者: Zhu, Xi; Mao, Zhendong; Chen, Zhineng; Li, Yangyang; Wang, Zhaohui \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2020/06/02 Visual question answering Graph convolutional networks Object-difference
	An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文 OAI收割 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67 作者: S. Nagaraju; Manish Kashyap; Mahua Bhattachraya \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2021/02/23 Density based clustering neighborhood difference density-based spatial clustering of applications with noise (DBSCAN) space density indexing (SDI) core object.
	Individual Differences in Holistic Processing Predict Face Recognition Ability 期刊论文 OAI收割 PSYCHOLOGICAL SCIENCE, 2012, 卷号: 23, 期号: 2, 页码: 169-177 作者: Wang, Ruosi; Li, Jingguang; Fang, Huizhen; Tian, Moqian; Liu, Jia 收藏 \| 浏览/下载：42/0 \| 提交时间：2015/07/24 face-specific recognition holistic processing composite-face effect whole-part effect difference measures individual differences face perception object recognition
	Research on the affect of differential-images technique to the resolution of infrared spatial camera (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China Jin G.; An Y.; Qi Y.; Hu F. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 The optical system of infrared spatial camera adopts bigger relative aperture and bigger pixel size on focal plane element. These make the system have bulky volume and low resolution. The potential of the optical systems can not be exerted adequately. So one method for improving resolution of infrared spatial camera based on multi-frame difference-images is introduced in the dissertation. The method uses more than one detectors to acquire several difference images and then reconstructs a new high-resolution image from these images through the relationship of pixel grey value. The technique of difference-images that uses more than two detectors is researched and it can improve the resolution 2.5 times in theory. The relationship of pixel grey value between low-resolution difference-images and high-resolution image is found by analyzing the energy of CCD sampling a general relationship between the enhanced times of the resolution of the detected figure with differential method and the least count of CCD that will be used to detect figure is given. Based on the research of theory the implementation process of utilizing difference-images technique to improve the resolution of the figure was simulated used Matlab software by taking a personality image as the object and the software can output the result as an image. The result gotten from the works we have finished proves that the technique is available in high-resolution image reconstruction. The resolution of infrared spatial camera can be improved evidently when holding the size of optical structure or using big size detector by applying for difference image technique. So the technique has a high value in optical remote fields.
	Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wu Y.-H. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1 2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak and it reduces processing time. Since the technique proposed uses all the image information including all the white noise in the image especially and it's hard to overcome the aliasing from noises but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.
	Tracking algorithms for low-contrast extended objects 期刊论文 OAI收割 CHINESE ASTRONOMY AND ASTROPHYSICS, 2002, 卷号: 26, 期号: 1, 页码: 115-124 作者: Rao, CH; Jiang, WH; Ling, N; Beckers, JM 收藏 \| 浏览/下载：28/0 \| 提交时间：2015/09/21 contrast extended object cross-correlation coefficient absolute difference algorithm atmospheric coherent length