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2023年5月4日,南京农业大学农学院及前沿交叉研究院甘祥超教授团队在TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence, IF=24.314)上发表题为“An integrated fast Hough transform for multidimensional data”的研究论文(https://doi...
Radar Imaging using SAR systems provides specific information that is very useful in the frame of "Digital Earth" applications (i.e. flood supervision, forestry or agriculture watch,). The main intere...
Fundamental matrix is an algebraic expression of the epipolar geometry, and plays a very important role in the computer vision. It is all along an important research topic that how to raise the precis...
Airborne laser scanner technique is broadly the most appropriate way to acquire rapidly and with high density 3D data over a city.Once the 3D Lidar data are available, the next task isthe automatic da...
Automated detection and 3D modelling of objects in laser range data is of great importance in many applications. Existing approaches to object detection in range data are limited to either 2.5D data (...
We present an efficient Hough transform for automatic detection of cylinders in point clouds. As cylinders are one of the most frequently used primitives for industrial design, automatic and ro...
Photointerpretation of geologic lineaments is a subjective process. Therefore there is a need for automation of lineament mapping using optimal edge detection techniques. Efforts made in this direct...
The paper presents an original method for object detection. The texture” Hough transform is used as the main tool in the search. Unlike classical generalized Hough transform, this variation uses te...
In close-range images, normally a large number of geometrical features is available. For photogrammetrists, the detection of shapes such as straight lines is very useful. These features are very helpf...
It is known that Hough transform is insensitive to noise and the desired results can be acquired even in the damaged image. Because of its applicability to the image with variations such as rotations ...
Laser scanners are often used to create accurate 3D models of buildings for civil engineering purposes, but the process of manually vectorizing a 3D point cloud is time consuming and error-prone (Ada...
为准确识别自然环境中被遮挡的棉花,提出一种基于随机Hough变换的棉花识别方法。为了减小运算量,首先基于RGB彩色模型的(R-B色差通道进行图像分割,利用区域标记获取棉花最小外接矩形区域。然后在有效区域内采用边界跟踪方法获取轮廓信息,根据棉桃轮廓的数学模型进行随机Hough变换。仿真表明:当棉花轮廓信息丢失量小于1/2时,识别效果良好。而且由于轮廓提取和Hough变换均在有效区域进行,参数空间大...
提出了基于改进随机Hough变换(RHT)的收获机器人行走目标直线检测算法。将摄像机安装在联合收获机的顶部,在收获过程中采集农田场景图像。根据已收获区域、未收获区域和非农田区域的不同颜色特征,利用统计分析和边缘检测,确定行走目标直线的终点位置以及直线方向上的候选点。以候选点为点集,采用改进RHT完成直线检测。与传统的RHT相比,避免了无效采样和累积问题。经过对多幅图片的处理,证明算法能够有效检测出...

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