(Solved): Question 4: Panorama Stitching Tasks: - Image Capture: Choose a scene (e.g., your desk, the view fro ...

Question 4: Panorama Stitching Tasks: - Image Capture: Choose a scene (e.g., your desk, the view from a window) and capture 2 or more images while rotating your camera. Ensure there is significant overlap (approximately 30-50\%) between adjacent images. - Image Stitching: Following the workflow from the lab tutorial, use a feature detector like SIFT to find keypoints and descriptors in your images. - Use BFMatcher to match the features between adjacent images. - Compute the homography matrix between each pair of images using cv2. findHomography() with the RANSAC algorithm. - Use cv2.warpPerspective() to transform one image and stitch it together with the other. Bonus Opportunity: To encourage creativity, the most creative and original panorama image will get a bonus of 5 marks. Feel free to use 2,3 , or even more images to create your masterpiece. Please show the final answer with any photo or screen shot of the solution ASAP PLEASE For each of the Tasks (Questions 1-4), you are required to submit the following: - Original Images: The raw photographs you captured for the task. - Result Images: Screenshots of the final output generated by your code (e.g., filtered images, segmented objects, panoramas, etc.). - Python Code: The complete and runnable code used to perform all tasks. For the Analysis (Question 5), you will provide written answers based on the results you generated.