搜索资源列表
Simplify_CVSIFT
- 采用简化SIFT算法实现快速图像匹配，相当实用的文章-Simplified fast SIFT image matching algorithm
sift1
- 针对现有的图像复制遮盖篡改检测算法需要某些先验信息、对后处理操作失效且计算量大等问题, 借鉴图像匹配技术中的SIFT(scale invariant feature transform)特征匹配算法,首次提出将其用于检测复制 遮盖的篡改操作。 -Cover the existing image copy for tamper detection algorithm needs some prior information on the calculation of post-proc
sift5
- :研究了一种多目标识别算法,该算法用SUSAN角点形成SIFT特征点,采用阶梯图像金字塔结构实现尺度不变,为所有匹配点建立统一的超定线性方程组并对该方程组系数矩阵进行简 化使其维数降低一半,得到增广矩阵.对增广矩阵进行列变换,依据坐标转换的特性可从中提取多目标的稳定正常点,实现了快速分离多目标的匹配点. -: Study of a multi-target recognition algorithm using SUSAN corner formed SIFT feature point
wittenhagen2008a
- 《DragonEye Fast Object Tracking and Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation, which makes the task of navigation in videos directly rel
SIFTpp
- 基于SIFT特征匹配的稳健图像拼接算法，可以参考一下-Robust image mosaic algorithm based on SIFT feature matching reference
match
- 使用sift算法提取图像特征点，用BBF的索引方式进行配准-extract image features using sift algorithm and complete the registration and stitch by BBF way
Surf-algorithm-learning
- Sift算法详细；Surf算法学习整理；surf英文原版-Surf algorithm learning finishing (first introduced the SURF algorithm will be related to the SIFT of the relevant concepts, to explain in detail the realization of the SURF algorithm)
SIFT
- SIFT（Scale-invariant feature transform）是一种检测局部特征的算法，该算法通过求一幅图中的特征点（interest points,or corner points）及其有关scale 和 orientation 的描述子得到特征并进行图像特征点匹配，获得了良好效果-SIFT (Scale-invariant feature transform) is a local feature detection algorithm by finding a pictur
Lowe-SIFT2004
- 这是D.C.Lowe2004经典的SIFT算法的原文，是SIFT算法学习的必备法宝。-This is the original D.C.Lowe2004 classic SIFT algorithm, SIFT algorithm to learn the necessary magic weapon.
eu582
- 详细画出了时域和频域的相关图，非归零型差分相位调制信号建模与仿真分析 ，结合PCA的尺度不变特征变换(SIFT)算法。- Correlation diagram shown in detail the time domain and frequency domain, NRZ type differential phase modulation signal modeling and simulation analysis, Combined with PCA scale invariant f
vempa
- 结合PCA的尺度不变特征变换(SIFT)算法，实现了对10个数字音的识别程序LZ复杂度反映的是一个时间序列中。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Realization of 10 digital audio recognition program LZ complexity is reflected in a time sequence.
langnang_v13
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，结合PCA的尺度不变特征变换(SIFT)算法，用于时频分析算法。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Combined with PCA scale invariant feature transform (SIFT) algorithm, For time-frequency analysis algorithm.
mjfap
- 包括回归分析和概率统计，结合PCA的尺度不变特征变换(SIFT)算法，计算晶粒的生长，入门级别程序。- Including regression analysis and probability and statistics, Combined with PCA scale invariant feature transform (SIFT) algorithm, Calculation of growth, entry-level program grain.
ue533
- 采用热核构造权重，结合PCA的尺度不变特征变换(SIFT)算法，对于初学者具有参考意义。- Thermonuclear using weighting factors Combined with PCA scale invariant feature transform (SIFT) algorithm, For beginners with a reference value.
svnic
- PLS部分最小二乘工具箱,结合PCA的尺度不变特征变换(SIFT)算法，是路径规划的实用方法。- PLS PLS toolbox, Combined with PCA scale invariant feature transform (SIFT) algorithm, Is a practical method of path planning.
vugsq
- 采用热核构造权重，结合PCA的尺度不变特征变换(SIFT)算法，插值与拟合的matlab实现。- Thermonuclear using weighting factors Combined with PCA scale invariant feature transform (SIFT) algorithm, Interpolation and fitting matlab implementation.
iq245
- 结合PCA的尺度不变特征变换(SIFT)算法，正确率可以达到98％，粒子图像分割及匹配均为自行编制的子例程。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Accuracy can reach 98 , Particle image segmentation and matching subroutines themselves are prepared.
dtdri
- 结合PCA的尺度不变特征变换(SIFT)算法，已调制信号计算其普相关密度，Matlab实现界面友好。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Modulated signals to calculate its density Pu-related, Matlab to achieve user-friendly.
ikvei
- 随机调制信号下的模拟ppm，结合PCA的尺度不变特征变换(SIFT)算法，包括主成分分析、因子分析、贝叶斯分析。- Random ppm modulated analog signal under Combined with PCA scale invariant feature transform (SIFT) algorithm, Including principal component analysis, factor analysis, Bayesian analysis.
ui608
- There is a well attenuation curve as input to calculate its seismic waves, Combined with PCA scale invariant feature transform (SIFT) algorithm, Least-squares regression analysis algorithm.