  During the last years, the emerging field of Augmented & Virtual Reality
(AR-VR) has seen tremendousgrowth. At the same time there is a trend to develop
low cost high-quality AR systems where computing poweris in demand. Feature
points are extensively used in these real-time frame-rate and 3D applications,
thereforeefficient high-speed feature detectors are necessary. Corners are such
special features and often are used as thefirst step in the marker alignment in
Augmented Reality (AR). Corners are also used in image registration
andrecognition, tracking, SLAM, robot path finding and 2D or 3D object
detection and retrieval. Therefore thereis a large number of corner detection
algorithms but most of them are too computationally intensive for use
inreal-time applications of any complexity. Many times the border of the image
is a convex polygon. For thisspecial, but quite common case, we have developed
a specific algorithm, cMinMax. The proposed algorithmis faster, approximately
by a factor of 5 compared to the widely used Harris Corner Detection algorithm.
Inaddition is highly parallelizable. The algorithm is suitable for the fast
registration of markers in augmentedreality systems and in applications where a
computationally efficient real time feature detector is necessary.The algorithm
can also be extended to N-dimensional polyhedrons.
