Using OpenCV for real-time image recognition through augmented reality devices

Adaptive Real-time Object Recognition for Augmented Reality

One of the key features of virtually all object recognition systems is the ability do deal with occlusions of detected objects. This article is focused on identification of occluded artificial objects such as square markers. The article reviews frequently used methods for detection of partially occluded markers. Further, our implementation of two object recognition methods is presented. The fir...

Real‐time Image Blending for Augmented Reality on Mobile Phones

Image Based Shadowing in Real-Time Augmented Reality

This work presents an approach to render appropriate shadows with Image Based Lighting in Augmented Reality applications. To approximate the result of environment lighting and shadowing, the system uses a dome of shadow casting light sources. The color of each shadow is determined by the area of the environment behind the casting light source. As a result it is possible that changes in the ligh...

Real-time tomographic holography for augmented reality.

The concept and instantiation of real-time tomographic holography (RTTH) for augmented reality is presented. RTTH enables natural hand-eye coordination to guide invasive medical procedures without requiring tracking or a head-mounted device. It places a real-time virtual image of an object's cross section into its actual location, without noticeable viewpoint dependence (e.g., parallax error). ...

Real Time Tracking Using Stereo Vision for Augmented Reality

Correct tracking of the user position is crucial for an Augmented Reality (AR) application. For this reason, tracking became a very important research subject in the field of real-time AR. The most common solution to implement an AR system is based on the use of an Head Mounted Display (HMD) and two cameras for the stereoscopic video see-through visualization. Almost all the systems presented i...