Abstract: In this paper, we present a system for 3D object detection and recognition with an enhanced depth estimation algorithm. The system is based on Microsoft Kinect and it uses state of the art ...

Effective recognition of 3D objects in real scenes is the fundamental requirement in AR. The traditional Canny edge detection algorithm ignores the important boundary information about the object, ...

The Canny edge detection algorithm, developed by John F. Canny in 1986, is one of the most widely used methods due to its effectiveness and reliability. The Canny algorithm is a multi-step process ...

The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny also produced a ...

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There’s a lot of math behind these algorithms, but do they work? Consider this example: Comparison of regular vs advanced point cloud edge detection [Source: MDPI] In this image we see an incredibly ...

In order to improve the edge detection effect of facial contour lines in medical images, this paper proposed a facial contour line generation algorithm. First, the detection effects of four operators ...