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关于gabor小波的特征不变提取,对于人脸识别和纹理分析有很大帮助。-About the gabor wavelet feature the same extract, for face recognition and texture analysis.
Date : 2026-01-09 Size : 169kb User : ps

并本文对两大类步态识别算法进行了深入研究,其主要内容集中于步态特征的提取和分类器的设计两部分。 在特征提取阶段采用多种不同的方法提取多种不同的步态特征,其中效果较好的是一种基于模型的特征提取方法。本文使用关键点和肢体角度构建人体的骨骼化模型, 并对模型的各项参数提取做了改进,从人体的骨骼化模型中提取人体的静态参数(如身高、步幅等)以及动态参数(如运动过程中关键点的位置、运动轨迹、肢体角度、-and two types of paper gait recognition algorithm for in-depth study Its main contents concentrated in the gait characteristics of the extraction and classification of the design of two parts. Feature extraction stage in the use of different methods of extracting different gait characteristics, the effect of which is a better model-based feature extraction methods. Using the key points and limbs angle Construction human skeleton model and the model parameter extraction made improvements, from the human skeleton model of the human body from the static parameters (such as height, Stride) and dynamic parameters (such as the process of movement key points, trajectory, physical perspective,
Date : 2026-01-09 Size : 3.11mb User : QHLee

图像处理和特征提取的一本经典英文文献,Mark s. Nixon著。-Image processing and feature extraction of a classic English literature, Mark s. Nixon forward.
Date : 2026-01-09 Size : 2.98mb User : 海平

feature-selection-with-acquisition cost-for-optimizing-sensor-system-design.pdf
Date : 2026-01-09 Size : 724kb User : xiang

这是基于智能视频中多人脸的跟踪,具有代表性!跟大家共同分享一下!-This is based on intelligent video in more than face tracking, a representative! Common to share with everyone!
Date : 2026-01-09 Size : 3.48mb User : 李振伟

DL : 0
核主成分分析的特征提取的客户流失预测,大家分享一下.-Kernel Principal Component Analysis of feature extraction of customer churn prediction, to share with Members.
Date : 2026-01-09 Size : 436kb User : 何生

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基于改进的独立分量分析的人脸识别方法,,本文将遗传算法(GeneticAlgorithm,GA)应用到独立分量的选择与优化中,从而在 保证较高识别性能的前提下,获得最优的人脸特征子集-Based on an improved independent component analysis for face recognition method, this article will genetic algorithm (GeneticAlgorithm, GA) is applied to independent component selection and optimization, resulting in a higher recognition performance guarantee under the premise was the best facial feature subset
Date : 2026-01-09 Size : 130kb User : 李宛霖

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Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon-Feature Extraction in Computer Vision and Image Processing- Mark S. Nixon
Date : 2026-01-09 Size : 2.92mb User : zhaowenyong

Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time
Date : 2026-01-09 Size : 339kb User : Inchara

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数字图像处理中基于ICA的人脸图像特征提取论文-Digital image processing of the ICA-based face image feature extraction Thesis
Date : 2026-01-09 Size : 246kb User : 赵西西

Thinning Arabic characters for Feature extraction. Very useful for character recognition. Easily understood
Date : 2026-01-09 Size : 172kb User : sdqali

一片关于特征选择的分类的ppt,内容包括矩阵,微积分,表格分析等好多数学知识,比较难理解。-Feature Selection for Classification
Date : 2026-01-09 Size : 423kb User : Muzappar

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Gabor变换的人脸特征提取算法的研究的的硕士论文,可以参考。- Gabor Transform Face Feature Extraction Algorithm DE master s thesis, you can reference.
Date : 2026-01-09 Size : 4.38mb User : wuli

A very good paper that explain tracking facial feature under varying face pose and facial expression-This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efficient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level profiles is proposed. To model the spatial relations among feature points, a hierarchical statistical face shape model is proposed to characterize both the global shape of human face and the local structural details of each facial component. Furthermore, multi-state local shape models are introduced to deal with shape variations of some facial components under different facial expressions. During detection and tracking, both facial component states and feature point positions, constrained by the hierarchical face shape model, are dynamically estimated using a switching hypothesized measurements (SHM) model. Experimental results demonstrate that the proposed method accurately and robustly tracks faci
Date : 2026-01-09 Size : 936kb User : Ng Jack

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针对医学图像数据库,提出一种新的基于纹理和形状的图像检索方法。非下采样Contourlet变换具有多尺度多分辨率 分析和平移不变性的特点,用来提取纹理特征。Zernike矩作为一种基于区域的形状描述子,具有良好的旋转不变性,用来提取 形状特征. 然后综合两种特征。对CT图像数据库进行检索实验,实验结果表明,该方法具有良好的检索性能,并具有平移、尺 度、旋转不变性。-Aiming atmedical image database, a novelmedical image retrieval algorithm based on texture and shape information is p roposed. The nonsubsamp led Contourlet transform p rovides a flexible multi2scale, multi2direction and shift2invariant image rep resentation. It is used for texture feature extraction. As a region2based shape descrip tor, Zernike moments have good rotation invariance. It is used to extract shape feature. Then, the two features are inte2 grated into image retrieval. A CT image database was retrieved using thismethod. Experimental results show that the new method has good retrieval performance and the p roperties of translation, scaling and rotation invariance. Key words: nonsubsamp led Contourlet transform Zernike moment texture extraction shape extraction
Date : 2026-01-09 Size : 388kb User : ll

SUSurE-Speeded Up Surround Extrema Feature Detector and Descriptor
Date : 2026-01-09 Size : 856kb User : 仍未

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introduction about feature selection
Date : 2026-01-09 Size : 208kb User : asirisilva

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This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained.
Date : 2026-01-09 Size : 1.65mb User : ivan

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this file contains a ppt on feature selection in video classification.
Date : 2026-01-09 Size : 4.26mb User : keerthi

Describe: Then a voice feature extraction procedures source, in addition to containing matrix and vector operations, it also includes many voice feature extraction algorithm, including : Formant (formant) extraction
Date : 2026-01-09 Size : 99kb User : kiokala
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