opencv-stitching

I was wondering if the stitching( http://docs.opencv.org/modules/stitching/doc/stitching.html ) module of OpenCV is able to stitch the images taken from a camera that is in parallel motion to the plane which is being photographed ? I know that generally all the panoramic stitching tools assume that the center of the camera is fixed and that the camera only experiences motion such as pan or pitch. I was thinking if I can use this module to stitch the image taken from a camera which moves parallel to the plane. The idea is to create a panoramic map of the ground. Regards Just for the record. The

I have some sample code which uses OpenCV (Java wrapper) to stitch 2 images together. It refers to a class "DescriptorExtractor" which is deprecated. I can't find any information in the official web documentation or the source-code about what I should use instead. I always get annoyed when something is deprecated and it doesn't tell you what you should use instead. Can anyone help me? I'm using OpenCV 3.4.1 with pre-built Windows libraries. The official documentation for the class seems to be here . The "FeatureDetector" class is likewise deprecated, likewise without any hint about what to use

I have to stitch two or more images together using python and openCV. I found this code for finding keypoints and matches, but I don't know how to continue. Help me please! import numpy as np import cv2 MIN_MATCH_COUNT = 10 img1 = cv2.imread('a.jpg',0) # queryImage img2 = cv2.imread('b.jpg',0) # trainImage # Initiate SIFT detector sift = cv2.SIFT() # find the keypoints and descriptors with SIFT kp1, des1 = sift.detectAndCompute(img1,None) kp2, des2 = sift.detectAndCompute(img2,None) FLANN_INDEX_KDTREE = 0 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5) search_params = dict

I have found some basic working examples on stitching via OpenCV for panoramic images. I have also found some useful documentation in the API docs , but I can't find out how to speed up the processing by providing additional information. In my case, I generate a set of images in a 20x20 grid of individual frames, for a total of 400 images to be stitched into a single large one. This takes an enormous amount of time on a modern PC, so it would likely take hours on a developer board. Is there any way to tell the OpenCV instance information about the images, such as me knowing in advance the