A novel vanishing point (VP) detection scheme, DiskVPS detects VPs with extreme efficiency via Hough Transform (HT) over an image-plane-mapped disk space. DiskVPS differs from the state-of-the-art (SOTA) algorithms that use the Gaussian Sphere(GS)-based VP detection models in which camera parameters are required and edge pairs cast votes. DiskVPS approach has two fundamental advantages in comparison to the other VP detection schemes: 1) the potential to achieve substantially higher accuracy at significantly faster processing speed by using individual edges rather than more error-prone and less efficient edge pairs as voters, and 2) the application of VP detection to all image types without the need for calibration as no camera parameters are involved in the algorithm. In a comparative experimental study, we demonstrate that the DiskVPS significantly outperforms the SOTA in detection accuracy and processing speed with real-world images.