下载标注好的SiftFlowDataset.zip数据集,地址:http://www.cs.unc.edu/~jtighe/Papers/ECCV10/siftflow/SiftFlowDataset.zip 将压缩包解压至data/sift-flow文件夹下。 3、代码修改 git clone git@github.com:litingpan/fcn.git 或从https://github.com/litingpan/fcn下载,替换掉siftflow-fcn32s整个文件夹。 ...
下载数据集:http://pan.baidu.com/s/1dFxaAtj,并解压至/fcn.berkeleyvision.org/data/下,并将文件夹名重命名为sift-flow。这里一定要注意,/fcn.berkeleyvision.org/data/下本来就有一个文件夹叫sift-flow,千万不要覆盖。同时,这些原本就存在的文件夹里的东西还要全部复制到新解压的sift-flow文件夹下边。你可以...
将压缩包解压至data/sift-flow文件夹下。 3、代码修改 git clone git@github.com:litingpan/fcn.git 或从https://github.com/litingpan/fcn 下载,替换掉siftflow-fcn32s整个文件夹。 其中solve.py修改如下: import caffe import surgery, score import numpy as np import os import sys try: import setproc...
(一)数据准备(以SIFT-Flow 数据集为例) 下载数据集: http://pan.baidu.com/s/1dFxaAtj ,并解压至/fcn.berkeleyvision.org/data/下,并将文件夹名重命名为sift-flow。这里一定要注意,/fcn.berkeleyvision.org/data/下本来就有一个文件夹叫sift-flow,千万不要覆盖。同时,这些原本就存在的文件夹里的东西还要全...
Huanqiang Zeng, Kai-Kuang Ma, Chen Wang, Canhui Cai (2015) "SIFT-Flow-Based Color Correction for Multi-View Video", Signal Processing: Image Communication, 36(8), pp.53-62.H. Zeng, K.-K. Ma, C. Wang, C. Cai, Sift-flow-based color correction for multi-view video, Signal Process...
Results: Compared with existing registration algorithms, 3D-SIFT-Flow has its particular advantage in matching anatomical structures (such as the liver) that observe large variation/deformation. The authors observed consistent improvement over widely adopted state-of-the-art registration methods...
1.摘要:本文提出的sift flow是将图像和图像领域帧进行图像配准。本文sift flow算法主要包括密集采样、像素级的sift特征提取、空间连续性。 2.本文方法: 1)密集的SIFT描述符和可视化:sift描述子就是sift提取特征那一套。然后从图像中计算得到sift描述符的前三个主成分(???这里我不太懂),然后将128维的sift描述子投...
光流法SIFT Flow: Dense Correspondence across Scenes and its Applications采用光流的思想进行稠密点的匹配。 研究生期间做过基于光流法的目标跟踪,这里回顾一下光流法。 亮度恒定,同一点随时间的变化,其亮度不会发生改变,这是基本光流法的假定; 小运动,时间的变化不会引起位置的剧烈变化,这样灰度才能对位置求偏导(...
Results: Compared with existing registration algorithms, 3D-SIFT-Flow has its particular advantage in matching anatomical structures (such as the liver) that observe large variation/deformation. The authors observed consistent improvement over widely adopted state-of-the-art registration methods such as ...
Analogous to optical flow, where an image is aligned to its temporally adjacent frame, we propose SIFT flow, a method to align an image to its nearest neighbors in a large image corpus containing a variety of scenes. The SIFT flow algorithm consists of matching densely sampled, pixelwise ...