The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means o...

An emotion detection algorithm using frontal facial image is presented in this paper. The algorithm is composed of three main stages: image processing stage and facial feature extraction stage, and emotion detection stage. In image processing stage, the face region and facial component is extracted by using fuzzy color filter, virtual face model, and histogram analysis method. The features for ...

A natural and intuitive method is proposed to help a user manipulate an object in a virtual environment. The method does not need to assign special properties to the object faces in advance and does not require special hardware. Instead, it uses only the visual constraints of motion among object faces that are dynamically selected by a real-time collision detection method while the user manipul...

This paper proposes a virtual touchpad human computer interaction (HCI) based on the fingertip hand gesture recognition (FHGR) method for smartphone with depth camera. The virtual touchpad HCI requires less computing power and memory resource than the conventional hand gesture recognition (HGR) methods. It consists of three modules: (1) open hand identification, (2) active fingertip detection a...

While optical colonoscopy (OC) is still considered the gold standard and is necessary for performing polypectomies when required, virtual colonoscopy (VC) systems present certain advantages over the traditional OC, such as increased coverage of the colon wall and the ability to utilize computer-aided detection (CAD) techniques. In order to leverage the abilities provided by both OC and VC, a me...