Self-powered sensing systems augmented with machine learning (ML) represent a path toward the large-scale deployment of the internet of things (IoT). The pincushion variables of the two vision sensors are both: 20. Establish an association with the dialog: Read from configuration file sscanf (szBuf,"%f",&m_fboThreshhod) After modifying the "pincushion variable" parameter from the interface, update the data CString strFBO GetDlgItem(IDC_EDIT_IMAGE_ANGLE)->GetWindowText(strFBO) m_view->m_fboThreshhod = atof(strFBO) The image pincushion variables of the vision sensor can be adjusted in different parameters in the parameter dialog box according to the user's needs. The texture is mapped to the deformed picture to realize the distortion of the picture and be output to the display interface. Then link the rendering buffer to the FBO, and finally output the rendering result to the FBO. One is a texture object, and the other is a rendering buffer object (Renderbuffer object). Wherein there are two types of objects linked to the FBO. u=float (i)/(width-1) to represent the array subscript, starting from 0 use trigonometric functions to achieve smooth curve deformation: calculate distortion parameters: the upper edge data of the picture: temp.y=m_fboThreshhod*sin( (float)(i)/(width)*π) The bottom edge data of the picture: temp.y=height-m_fboThreshhod*sin((float)(i)/(width)*π) Create and bind an FBO, and then render the buffer object for off-screen rendering. The effect picture of pincushion distortion polygon of the image Then, two rows of deformed pixel data are generated from the upper and bottom edges of the picture respectively, wherein the upper and lower x-axis directions are divided into i equal parts.
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