Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
A Statistic Method of Crop Acreage Based on Image Recognition
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
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This research presents a planar area calculation method, focusing on image warping to top view. An orientation sensor attached to a camera is used to acquire the camera's orientation in real time. In practice, alignment between camera and sensor is imperfect. Therefore, calibration between camera and sensor is addressed using Iterative Least Square method. Then, extrinsic parameters derived from the calibrated sensor and pre-computed intrinsic parameters will be used to generate homography matrix. Homography matrix and a separately required translation matrix will be used to generate a top view image. In the top view image, we can directly count the number of target pixel. Finally, the number of pixel is converted to area size in real-world unit.