中国科学院机构知识库网格系统: 检索

Orientation Field Code Hashing: A Novel Method for Fast Palmprint Identification 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1038-1051
作者: Xi Chen; Ming Yu; Feng Yue; Bin Li

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收藏 | 浏览/下载：24/0 | 提交时间：2021/04/09

Biometric system hashing orientation feature palmprint identification

Orientation judgment for abstract paintings 期刊论文 OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 1, 页码: 1017-1036
作者: Liu, Jia; Dong, Weiming; Zhang, Xiaopeng; Jiang, Zhiguo

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收藏 | 浏览/下载：31/0 | 提交时间：2017/01/22

Abstract Paintings Image Classification Feature Extraction Orientation Judgment Art Theory

Image classification using boosted local features with random orientation and location selection 期刊论文 OAI收割
Information Sciences, 2015, 期号: 310, 页码: 118-129
作者: Zhang CJ(张淳杰); Cheng J(程健); Zhang YF(张一帆); Liu J(刘静); Liang C(梁超)

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收藏 | 浏览/下载：16/0 | 提交时间：2017/09/19

Sparse Coding Image Classification Random Orientation Boosting Local Feature Selection

遥感影像像斑综合相邻势能分析的随机场模型 期刊论文 OAI收割
武汉大学学报（信息科学版）, 2013, 卷号: 38, 期号: 12, 页码: 1470-1474
龚龑; 李亮; 王琰; 陶醉

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收藏 | 浏览/下载：16/0 | 提交时间：2014/12/16

像斑方位特征空间关系随机场空间邻接 segments orientation feature spatial relation random field spatial adjacency

Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者: Wang X.; Wang X.; Wang X.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

Using of SIFT algorithm in the image of teeth model can detect the features of the teeth image effectively. In this approach first search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third assign one or more orientations to each keypoint location based on local image gradient directions. Last measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods this method can detect the features of the teeth model effectively and offer some available parameters for 3D reconstruction of the teeth model. the authors.

Local Feature Based Geometric-Resistant Image Information Hiding 期刊论文 OAI收割
cognitive computation, 2010, 卷号: 2, 期号: 2, 页码: 68-77
作者: Gao, Xinbo; Deng, Cheng; Li, Xuelong; Tao, Dacheng

收藏 | 浏览/下载：191/32 | 提交时间：2011/01/11

Visual cognition Image watermarking Scale invariant feature transform Orientation alignment Discrete Fourier transform

Visual neuroscience research in China 期刊论文 OAI收割
SCIENCE CHINA-LIFE SCIENCES, 2010, 卷号: 53, 期号: 3, 页码: 363-373
Yao HaiShan; Lu HaiDong; Wang Wei

收藏 | 浏览/下载：28/0 | 提交时间：2012/07/13

visual cortices contextual modulation feedback feature binding motion processing perceptual learning functional brain imaging eye movement visual development and senescence RETINAL GANGLION-CELLS LATERAL GENICULATE-NUCLEUS RECEPTIVE-FIELD PROPERTIES STRIATE CORTICAL-NEURONS ORIENTATION COLUMN MAPS MACAQUE MONKEY FUNCTIONAL ARCHITECTURE CONTRAST SENSITIVITY SPATIAL SUMMATION V1 NEURONS

A New Image Feature Point Detection Method Based on Log-Gabor Gradient Feature 会议论文 OAI收割
2009 Joint Urban Remote Sensing Event, Vols 1-3, New York
Yang Jian; Zhao Zhongming

收藏 | 浏览/下载：12/0 | 提交时间：2014/12/07

Auto Registration Log-Gabor Gradient Feature Multi-Scale Multi-Orientation

图像特征检测与匹配研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008
作者: 王志衡

收藏 | 浏览/下载：82/0 | 提交时间：2015/09/02

特征检测特征匹配伪球滤波器内积能量局部方向分布均值标准差描述子直线匹配曲线匹配 feature detection feature matching pseudosphere filter local orientation distribution mean standard deviation descriptor line matching curve matching

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：26/0 | 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.