مشاهده مشخصات مقاله
An Iterative Geometrical Noise Cancellation Approach to Closed-form Camera Pose Estimation
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نویسنده (ها) |
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Kambiz Rahbar
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Hamid Reza Pourreza
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
This research addresses a new iterative geometrical noise cancellation method for closed-form camera pose
estimation based on collinearity theory. We first explain how to estimate camera position and it’s orientation by
employing extra nonsingular point of the edge line of the landmark’s corner through a closed-form geometrical
pose estimation algorithm. Then, we propose a new iterative noise cancellation algorithm to reduce the
estimation error of camera transaction matrix, which has the most portion in camera pose estimation errors. To
validate our proposed method, we test it as a computer simulation. The results show that this method is efficient,
accurate and robustness. But the drawback is that the camera rotation matrix, which used in noise cancellation
algorithm, may not always be inverseable. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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