Real-time image processing for augmented reality on mobile devices

Real‐time Image Blending for Augmented Reality on Mobile Phones

Real Time Augmented Reality on Mobile Phone

As there are many methods designed for augmented reality, it is still hard to really bring augmented reality application to the real life due to the performance constraint of mobile devices. In this project, I tried to implement certain promising algorithms and explore the possibilities of rich augmented reality application. ESM algorithm is chosen for tracking the clue of the scene together wi...

Adaptive Monocular Visual–Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices

Simultaneous localization and mapping (SLAM) is emerging as a prominent issue in computer vision and next-generation core technology for robots, autonomous navigation and augmented reality. In augmented reality applications, fast camera pose estimation and true scale are important. In this paper, we present an adaptive monocular visual-inertial SLAM method for real-time augmented reality applic...

Augmented Reality based on Image Processing

Augmented Reality is hot trend in mobile industry, allowing addition of external data on top of camera input. Augmented Reality is used in areas such as gaming, navigation, tourism, and education in full interest. Using Digital image processing algorithms and computer vision different iPhone and android applications are created. Our concept is much like what we see and what our brain understand...

Advanced Rendering for Augmented Reality on Mobile Devices

Augmented reality on mobile devices was until recently only implemented with simple rendering techniques. We set out to add shader support to AndAR, the ARToolkit based Augmented Reality package for Android. In particular, we hoped to implement approximate environment mapped reflections and image space refractions.