Speed and Deep Measurements from Motion blurred Images

In this book, we have presented an automatic speed measurement method of spherical objects using a single image and a novel approach for depth recovery from a single motion and defocus images. For the speed measurement method, blur parameters of the motion blurred image are estimated and then used to calculate the speed of the object according to a pinhole camera model. Since our approach is an image- based method, it can be implemented with low cost, off-the-shelf digital cameras. Furthermore, the camera settings (such as shutter speed, image resolution, focal length) can be easily adjusted to improve the accuracy of the system. In contrast to the commercially available speed measurement devices, our approach has virtually no limitation on the speed test range. In depth recovery approach, our method requires only a single defocused image to recover the depth of a scene. Besides, the calibration stage for our depth recovery algorithm is much simpler compared to general depth from focus approach. From the experiments for both applications, the results prove the robustness of the algorithms we proposed in this book.

Autorentext

Chia-Hong Chang received his BS degree in industrial education from National Taiwan Normal University, Taiwan, and MS degree in electrical engineering from National Chung Cheng University, Taiwan.His current research interests include computer vision and digital image processing.