计算机视觉针对不同场景做全景拼接

海Neil-828

于 2019-03-31 20:39:54 发布

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分类专栏：计算机视觉 python 文章标签： RANSAC 全景拼接

本文链接：https://blog.youkuaiyun.com/weixin_44037639/article/details/88930033

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针对不同场景做全景拼接

利用RANSAC算法来做不同场景的全景图
在运行代码的时候，会遇到一些错误，主要原因出现在pcv模块中。

from pylab import *
from numpy import *
from PIL import Image

# If you have PCV installed, these imports should work
from PCV.geometry import homography, warp
from PCV.localdescriptors import sift

"""
This is the panorama example from section 3.3.
"""

# set paths to data folder
featname = [r'D:\VScode_workplace\RANSACtest1\sw'+str(i+1)+'.sift' for i in range(5)] 
imname = [r'D:\VScode_workplace\RANSACtest1\sw'+str(i+1)+'.jpg' for i in range(5)]

# extract features and match
l = {}
d = {}
for i in range(5): 
    sift.process_image(imname[i],featname[i])
    l[i],d[i] = sift.read_features_from_file(featname[i])

matches = {}
for i in range(4):
    matches[i] = sift.match(d[i+1],d[i])

# visualize the matches (Figure 3-11 in the book)
for i in range