If you are an application developer, you are free to target "advanced functionality," but you should be doing feature detection and progressive enhancement.
如果你是开发者，你可以使用那些高级功能，但需要进行功能探测并提供渐进式设计。
Fingerprint feature detection is one of the key techniques of automatic fingerprint identification.
指纹特征检测是自动指纹识别的关键技术之一。
Image feature detection is the basis of the techniques and applications of image processing. However, the use of phase information for image feature detection is a new research focus.
图像特征检测是图像处理技术与应用的基础，而利用相位信息进行图像特征检测是新的研究方向。
This thesis mainly focuses on the application of DTCWT on texture synthesis and facial feature detection.
本论文主要研究DTCWT在纹理合成和人脸特征检测方面的应用。
To speed up the facial feature detection, a diamond search algorithm is introduced in the Bayesian classifier.
在人脸特征区域判决中引入菱形搜索，与贝叶斯判决相结合，以提高人脸特征区域的检测速度。
The main contributions of this thesis are as follows:(1) An edge feature detection model based on gradient and phase (GP model) is proposed.
本文的主要贡献如下：（1）提出了梯度和相位信息相结合的边缘特征检测模型—GP模型。
Spectrum analysis is the most important branch in radar signal processing and significant of radar target classification and feature detection.
谱分析是雷达信号处理的重要组成部分，对目标分类、特征检测均有重要意义。
A biological recognition method by feature detection of human body on the move was presented, and the mathematical model of Doppler shift was established.
根据生物的生命体行为特征，提出一种新的生物识别方法，并建立了多普勒频移数学模型。
The use of GP model for detecting features has significant advantages over gradient-based feature detection methods which are sensitive to variations in image contrast.
通过理论分析和大量实验，验证了新模型可以可靠地进行低层特征检测，能够服务于不同的视觉信息处理应用。
In the methodology part, after a comprehensive literature review, we present an algorithm framework of multi-scale feature detection and fusion for different applications.
研究部分，在充分回顾总结前人工作的基础上，本文提出了一种多尺度融合的特征检测算法框架，以适应不同的应用场景。
The fourth chapter discusses in detail a novel method for edge feature detection of images based on wavelet decomposition and reconstruction by means of interval biorthogonal wavelet.
第四章详细地讨论了利用区间双正交小波，根据小波分解和重构来提取图像的边缘特征的一种新方法。
The singal transient feature detection represent method, and a transient energy evaluation method are used based on the reassigned scalogram for the vibration non-stationary feature representation.
提出基于小波尺度图重分配的信号瞬态特征检测方法和瞬时能量估计方法，并应用于轴承在多种轻微故障状况下的振动非平稳特征的检测与表示。
The singal transient feature detection represent method, and a transient energy evaluation method are used based on the reassigned scalogram for the vibration non-stationary feature representation.
提出基于小波尺度图重分配的信号瞬态特征检测方法和瞬时能量估计方法，并应用于轴承在多种轻微故障状况下的振动非平稳特征的检测与表示。
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