Computer Vision Assignment: Image Stitching with Weighted Smooth Blending
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Resource Overview
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To better assist Lancashire juniors, we provide comprehensive guidance for computer vision assignments. Our instruction covers key techniques including image stitching—implemented through feature detection algorithms like SIFT or ORB followed by homography estimation—and weighted smooth blending methods that use distance-based weight maps to eliminate seam artifacts. We emphasize original research approaches, encouraging students to develop customized solutions using OpenCV functions such as cv2.Stitcher_create() and Gaussian/linear weighting schemes. Through these hands-on learning experiences, students will build solid foundations in CV fundamentals, enabling significant academic achievements and preparing them for advanced research work. The curriculum includes practical code examples demonstrating histogram matching, perspective transformation, and multi-band blending algorithms.
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