Because of its easy model-building, quick rendering and strong sense of
reality, Image-Based Rendering can effectively solve the difficulties
existing in traditional virtual reality technology and has become one of
the research hotspots in recent years. The generation of the panoramic
image is a key technology in Image-Based Rendering and panoramic image
stitching has provided a good solution for it, which is to make seamless
splicing on a series of ordinary boundary-overlapping images. This
technology has been widely used in many fields including virtual reality
and computer vision. Image mosaics algorithm based on feature-block
matching is designed using Matlab. Edge detection is used to pick up
base feature-block automatically and thus improves the precision of
image stitching. In the problem of the searching matching block, a
hierarchical search strategy is employed, which improves the speed of
image stitching. Simulation results show the good result is gained.
Reference Paper: Image Mosaics Algorithm Based on Feature-Block Matching Author’s Name: Xiong Shi and Jun Chen Source: IEEE Year:2011 Request source code for academic purpose, fill REQUEST FORM or contact +91 7904568456 by WhatsApp or sales@verilogcourseteam.com, fee applicable. SIMULATION VIDEO DEMO

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