The described related work tracks motion using optical flow algorithms. It seems that those produce satisfying results but not yet cover the full potential of a AR tracking system. Others use interest-point based algorithms which are commonly known as very computational expensive. SIFT descriptors are probably the most used ones although they might belong the… Continue reading Review: „Multiple Target Detection and Tracking with Guaranteed Framerates on Mobile Phones“
Tag: smartphone
Review: "Parallel Tracking and Mapping on a Camera Phone"
Based on the PTAM Project (here PTAM-d for PTAM running on a desktop computer), which originally runs on a computer, Klein and Murray adapted the code to run on an iPhone 3G (here PTAM-m for PTAM running on mobile device such as smartphone). Of course everything need to become more light-weighted so that it can… Continue reading Review: "Parallel Tracking and Mapping on a Camera Phone"