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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i6.12798</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Design and Implementation of a 360° Panorama Imaging System Based on Motor-Driven Fisheye Camera</title><url>https://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.12798</url><author>SunYongsheng,LiXiaojuan,LiuGuanjiang,LiYue,ZhengHuayang,LiJianke</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-12-16</published-time></date></history><abstract>This paper designs and implements a single-camera 360° panoramic imaging system based on motor-driven fisheye rotation. The system utilizes a stepper motor for precise angular control, enabling the camera to rotate around its optical center to capture multi-view images, thereby avoiding the parallax and geometric mismatch problems inherent in traditional multi-camera configurations. To address the strong distortion characteristics of fisheye images, an equidistant projection model is adopted for distortion correction. On this basis, a brightness normalization method combining global linear brightness correction and local illumination compensation is proposed to enhance stitching consistency. By establishing a geometry model constrained by camera rotation and integrating cylindrical projection with cosine-weighted blending, the system achieves high-precision panoramic stitching and seamless visual transitions.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Ji F, 2025, Fast Image Stitching Algorithm for Intelligent Vehicle Panoramic Systems, thesis, Nanjing Forestry University.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Liu X, Li H, 2024, Video Stitching Study of Rural Scenic Panoramic Identification System Based on Improved ORB Feature Detection. 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