A Simulation of Image Mosaic Algorithm Based on Vehicle Panorama System
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摘要: 傳統(tǒng)的全景圖像拼接算法，多采用Harris角點(diǎn)的特征提取或尺度不變特征轉(zhuǎn)換?(SIFT)的特征匹配算子的方式，對存在重合部分的圖像進(jìn)行圖像拼接處理。但對于車載全景圖像拼接算法而言，車身四周采集到的4幅魚眼畸變圖像，使用特征提取算子的方法進(jìn)行的拼接，運(yùn)算的復(fù)雜度高，效率低，不能滿足車載設(shè)備的實時性要求。針對這一問題，該文提出一種專門應(yīng)用在車載系統(tǒng)的車載全景圖像拼接算法，并對其進(jìn)行Matlab仿真，最大限度提高算法的運(yùn)算效率，以滿足車載系統(tǒng)實時性的要求，真實的反應(yīng)路況信息，輔助駕駛員安全駕駛。Abstract: For the mosaic algorithm of traditional panoramic image, the Harris corner extraction or the Scale-Invariant Feature Transform (SIFT) feature matching are the most commonly used methods for resolving the parts of image overlap. But for the vehicle panoramic image mosaic algorithm, four images of fisheye distortion around a car are spliced by the algorithm of feature extraction. The algorithm has high computational complexity, low efficiency and is not able to satisfy the real-time requirements of vehicle equipment. Aiming at this problem, a mosaic algorithm for the panoramic images specially used in the vehicle system is proposed and simulated in matlab. The result is to maximize the efficiency of the algorithm and meet the requirements of real-time for the vehicle system. It can be achieved that the real traffic information is displayed for protecting the safety of the driver.
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Key words:
- Computer vision /
- Image mosaic /
- Vehicle panoramic /
- Real-time /
- Fisheye image
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