Abstract: An apparatus, method and computer-readable storage medium are provided for processing images, such as medical images, in accordance with an imaging calibration function during execution of an image viewing application, and also for processing other types of images with a different calibration function during execution of a different application. In regards to an apparatus, the apparatus is caused to identify, in conjunction with an image viewing application, an imaging calibration function. The apparatus is also caused to transform a digital image during execution of the image viewing application in accordance with the imaging calibration function and to output the digital image, following transformation, in accordance with the image viewing application.

Abstract: A determination is made in real-time regarding whether a bicyclist is present in a target image. A target image is received. The target image is classified and an error value for the target image is determined using a linear classifier. If the error value does not exceed the threshold value, the classification is outputted. Otherwise, if the error value exceeds the threshold value, the target image is classified using a non-linear classifier.

Abstract: Image data obtained from an image sampling of a physical surface is integrated with position data obtained from a three-dimensional surface sampling of the same physical surface by combining data from the images with the measured surface points from the surface sampling to create additional “implied” surface points between the measured surface points. Thus, the originally obtained point cloud of measured surface points is densified by adding the implied surface points. Moreover, the image data can be used to apply colors to both the implied data points and the measured data points, resulting in a colored three-dimensional representation of the physical surface that is of higher resolution than a representation obtained from only the measured surface points.

Abstract: Methods and devices for the real-time tracking of one or more objects of a real scene in a video stream for an augmented-reality application are disclosed herein.