DIGITAL ASSIGNMENT 2: Panoramic View Projections

Name: Bhavya S Chauhan

Reg. No. :17BCE1270

Youtube link: https://youtu.be/c6kfOq1nOws

Name: Ibra Nafis

Reg. No. :17BCE1230

Youtube link: https://youtu.be/1HrK3mxlcDg

Panoramic images create a photo-realistic, 3 dimensional, navigable environment, by capturing the surrounding of the image in a 360 degree cylindrical or spherical view.

Panoramic images are implemented extensively in adventure style games with immersive experience and in real estate images to give guided tours of museums and building sites.

Here I have discussed the basic algorithm for panoramic image projection and shown the implementation of a program to stitch images together by using mathematical model to map pixel coordinates from one image to another.

Program (Python and OpenCV):

# USAGE

# python image_stitching_simple.py --images scottsdale --output output.png

# import the necessary packages

from imutils import paths

import numpy as np

import argparse

import imutils

import cv2

# construct the argument parser and parse the arguments

ap = argparse.ArgumentParser()

ap.add_argument("-i", "--images", type=str, required=True,

help="path to input directory of images to stitch")

ap.add_argument("-o", "--output", type=str, required=True,

help="path to the output image")

args = vars(ap.parse_args())

# grab the paths to the input images and initialize our images list

print("[INFO] loading images...")

imagePaths = sorted(list(paths.list_images(args["images"])))

images = []

# loop over the image paths, load each one, and add them to our

# images to stitch list

for imagePath in imagePaths:

image = cv2.imread(imagePath)

images.append(image)

# initialize OpenCV's image sticher object and then perform the image

# stitching

print("[INFO] stitching images...")

stitcher = cv2.createStitcher() if imutils.is_cv3() else cv2.Stitcher_create()

(status, stitched) = stitcher.stitch(images)

# if the status is '0', then OpenCV successfully performed image

# stitching

if status == 0:

# write the output stitched image to disk

cv2.imwrite(args["output"], stitched)

# display the output stitched image to our screen

cv2.imshow("Stitched", stitched)

cv2.waitKey(0)

# otherwise the stitching failed, likely due to not enough keypoints)

# being detected

else:

print("[INFO] image stitching failed ({})".format(status))

Output:

Creating a panoramic view of 3 images