  It is a high cost problem for panoramic image stitching via image matching
algorithm and not practical for real-time performance. In this paper, we take
full advantage ofHarris corner invariant characterization method light
intensity parallel meaning, translation and rotation, and made a realtime
panoramic image stitching algorithm. According to the basic characteristics and
performance FPGA classical algorithm, several modules such as the feature point
extraction, and matching description is to optimize the feature-based logic.
Real-time optimization system to achieve high precision match. The new
algorithm process the image from pixel domain and obtained from CCD camera
Xilinx Spartan-6 hardware platform. After the image stitching algorithm, will
eventually form a portable interface to output high-definition content on the
display. The results showed that, the proposed algorithm has higher precision
with good real-time performance and robustness.
