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AR_spectrla_analysisissatisfactory
- 本文主要介绍在PCI图像采集系统的基上，由B超序列图像重建出全方61 t4型心动图。通过梯度算法、曲线拟合算法等图像处理技术获得心动图波形函数，采用自回归谱估计分析获得较为满意的结果。谱分析方法为心脏病的临床诊断提供了一种新的方法。 -This paper mainly introduces the PCI-based image acquisition system, the B-sequence of images from the reconstruction of a full si
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
exgra1
- 求解变分不等式的两种外梯度算法对比。包括一种修正的外梯度法及其优化方法。-Solving Variational Inequality gradient algorithm for comparison of two things. Including an amendment to the outer gradient method and its optimization.
ders4_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders5_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders6_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders7_2006
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders8_2006
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
painless-conjugate-gradient.pdf
- congujate gradient method
GradientMethod
- This a presentation about Gradient Method for problem with unlinear constraighted-This is a presentation about Gradient Method for problem with unlinear constraighted
A-versatile-object-tracking-algorithm-combining-P
- This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based descr iption, and