#Export as hdri panorama photo blender registration
This was a convenient way to code the image registration procedure because it allowed sequential processing of all the images. Tforms(n).A = tforms(n-1).A * tforms(n).A Īt this point, all the transformations in tforms are relative to the first image. Tforms(n) = estgeotform2d(matchedPoints, matchedPointsPrev. % Estimate the transformation between I(n) and I(n-1). MatchedPointsPrev = pointsPrevious(indexPairs(:,2), :) MatchedPoints = points(indexPairs(:,1), :) IndexPairs = matchFeatures(features, featuresPrevious, 'Unique', true) % Find correspondences between I(n) and I(n-1). % Detect and extract SURF features for I(n). % Iterate over remaining image pairs for n = 2:numImages % Initialize variable to hold image sizes. For scenes captured from a further distance, you can use % affine transformations.
Note that the % projective transformation is used here because the building images are fairly % close to the camera.
% Initialize all the transformations to the identity matrix. % Read the first image from the image set. You can use the Camera Calibrator App to calibrate a camera if needed. However, if lens distortion is present, the camera should be calibrated and the images undistorted prior to creating the panorama. These were taken with an uncalibrated smart phone camera by sweeping the camera from left to right along the horizon, capturing all parts of the building.Īs seen below, the images are relatively unaffected by any lens distortion so camera calibration was not required.
The image set used in this example contains pictures of a building. Instead of registering a single pair of images, multiple image pairs are successively registered relative to each other to form a panorama. The procedure for image stitching is an extension of feature based image registration. In this example, feature based techniques are used to automatically stitch together a set of images. Feature detection and matching are powerful techniques used in many computer vision applications such as image registration, tracking, and object detection.
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