搜索资源列表
SIFT_GRNN
- SIFT算法结合GRNN神经网络实现立体视频的图像颜色校正-SIFT algorithm combined with GRNN neural network algorithm for stereo video image color correction
New-Folder-(4)
- In this research two automatic video annotation techniques are considered. The first technique uses ontology to reduce the semantic gap during video retrieval and other performs a group based image retrieval using video files. The proposed algorithm
match
- 基于opencv的SIFT特征提取：捕捉摄像头视频，进行角点匹配-SIFT-based feature extraction opencv: camera, video capture, carried corner matching
finknudem-(2)
- Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and na
Image_Process
- sift特征提取，sift图像拼接，OPENCV读取视频，gdal读取大的遥感图像，gdal建立金字塔，gdal分割图像（需配置3个库，GDAL，GSL,OPENCV）。-feature extraction sift, sift image stitching, OPENCV read the video, gdal read large remote sensing image, gdal build pyramids, gdal segmented image (you need to c
Patch
- 1利用SIFT关键点进行图像匹配 2在视频中，在一帧中检测关键点，之后利用canonical patch传递关键点，经过一定阈值的帧后，再次计算关键点，利用相邻帧之间关键点的差别很小，只更新关键点的位置，提高帧率。 3阈值自动确定-1 uses SIFT image matching key points 2 in the video, detecting critical points in one frame, after which it canonical patch tra
video_SIFT
- 可是实现对视频的sift特征提取，只需根据视频文档的位置修改路径即可-But to achieve sift feature extraction video, simply modify the path to the document based on the location of the video
Key-frames
- Scale Invariant Feature Transform (SIFT) is mainly invariance to various image transformation including rotation,scale and illumination changes. First, the video is converted into frames. key frames are extracted video. SIFT is mainly used for objec
kaonie_v85
- 结合PCA的尺度不变特征变换(SIFT)算法，Gabor小波变换与PCA的人脸识别代码，实现了图像的灰度化并进一步用于视频监视控。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Gabor wavelet transform and PCA face recognition code, Achieve a grayscale image and further control for video su
niuten
- 结合PCA的尺度不变特征变换(SIFT)算法，实现了图像的灰度化并进一步用于视频监视控，一种基于多文档得图像合并技术。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Achieve a grayscale image and further control for video surveillance, Based on multi-document image obtained combining
us816
- Including single sideband, double sideband, suppressed carrier and quadruple, Combined with PCA scale invariant feature transform (SIFT) algorithm, Achieve a grayscale image and further control for video surveillance.
xx104
- Achieve a grayscale image and further control for video surveillance, Combined with PCA scale invariant feature transform (SIFT) algorithm, Noisy pulse correlation detection signal.