کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533939 870192 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A simplified two-view geometry based external calibration method for omnidirectional and PTZ camera pairs
ترجمه فارسی عنوان
یک روش کالیبراسیون خارجی مبتنی بر هندسه دوبعدی ساده برای جفت دوربین های همه منظوره و PTZ
کلمات کلیدی
دوربین چند منظوره؛ دوربین شیب زاویه دار؛ سیستم دوربین ترکیبی؛ کالیبراسیون خارجی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• We present a new external calibration method for an omnidirectional-PTZ camera pair.
• The method is based on two-view geometry and requires only two scene points.
• Unlike alternative methods, it does not make very restrictive assumptions on camera setup.
• Synthetic and real environment tests were performed to measure the accuracy of the method.

The external calibration of a camera system is essential for most of the applications that involve an omnidirectional and a pan-tilt-zoom (PTZ) camera. The methods in the literature fall into two major categories; (1) a complete external calibration of the system which allows all degrees of freedom but highly time consuming, (2) spatial mapping between the pixel coordinates in omnidirectional camera and pan/tilt angles of the PTZ camera instead of explicitly computing the rotation and translation. Most methods in this category make restrictive assumptions about the camera setup such as optical axes of the cameras coincide. We propose an external calibration method that is effective and practical. Using the two-view geometry principles and making reasonable assumptions about the camera setup, calibration is performed with just two scene points. We extract rotation using the point correspondences in images. Locating the PTZ camera in the omnidirectional image is used to find the translation parameters and the real distance between the two scene points lets us compute the translation in correct scale. Results of the simulated and real image experiments show that our method works effectively in real world cases and its accuracy is comparable to the state-of-the-art methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 71, 1 February 2016, Pages 1–7
نویسندگان
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