A Review on “ Implementation of Real-time Image and Video Processing , and AR on Mobile Devices ”

This paper reviews some improved implementations of real-time image and video processing on Face Detection and Augmented Reality fields to be used on mobile platforms. A review of different techniques to surmount the constraints of lower memory, processing speed, connectivity, etc., on hand held devices. In the section of Face Detection, we review some optimization steps, e.g. Key frame and Lookup table, done by researchers to improve the result of Viola-Jones Face Detection algorithm. The presented results and comparisons show a remarkable improvement on Robustness and Processing Time comparing to the previous systems and exclusively Viola-Jones algorithm. In the section of Augmented Reality, we review some Technologies and Applications followed by some methodologies of AR implementations. For instance, TranslatAR presents a mobile augmented reality (AR) translation system, using a smartphone’s camera and touchscreen that requires the user to simply tap on the word of interest once in order to produce a translation, presented as an AR overlay. The translation seamlessly replaces the original text in the live camera stream, matching background and foreground colors estimated from the source images. For this purpose, TranslatAR’s researchers developed an efficient algorithm for accurately detecting the location and orientation of the text in a live camera stream that is robust to perspective distortion combining with OCR and a text-to-text translation en-