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OpenCV with Python By Example

You're reading from   OpenCV with Python By Example Build real-world computer vision applications and develop cool demos using OpenCV for Python

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781785283932
Length 296 pages
Edition 1st Edition
Languages
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Author (1):
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Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (14) Chapters Close

Preface 1. Applying Geometric Transformations to Images FREE CHAPTER 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Creating a Panoramic Image 7. Seam Carving 8. Detecting Shapes and Segmenting an Image 9. Object Tracking 10. Object Recognition 11. Stereo Vision and 3D Reconstruction 12. Augmented Reality Index

Creating the panoramic image


Now that we know how to match keypoints, let's go ahead and see how we can stitch multiple images together. Consider the following image:

Let's say we want to stitch the following image with the preceding image:

If we stitch these images, it will look something like the following one:

Now let's say we captured another part of this house, as seen in the following image:

If we stitch the preceding image with the stitched image we saw earlier, it will look something like this:

We can keep stitching images together to create a nice panoramic image. Let's take a look at the code:

import sys
import argparse

import cv2
import numpy as np

def argument_parser():
    parser = argparse.ArgumentParser(description='Stitch two images together')
    parser.add_argument("--query-image", dest="query_image", required=True,
            help="First image that needs to be stitched")
    parser.add_argument("--train-image", dest="train_image", required=True,
            help="Second image...
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