In this paper; we propose a method for generating realistic shadows of virtual objects inserted into a real video sequence. Our aim is to improve and extend the work of [ I ] , which is based on a static camera, to the case of a video sequence. This extension consists of several procedures: calibration of a moving video camera and a graphic camera, removing false shadows occurring due to a shor...

This paper proposes automatic representations of spatial relationships among photos for structure analysis and review of a photographic subject. Based on camera tracking, photos are shown in a 3D virtual reality space to represent global spatial relationships. At the same time, the spatial relationships between two of the photos are represented in slide show sequences. This proposal allows peop...

Presenting a set of similar or diverse ideas during the idea generation process leads ideators to come-up with more creative and diverse ideas. However, to better assess the similarity between the ideas, we designed two matching systems, namely I-Match and OntoIdea. In the context of the idea generation process, each idea is represented by a set of instances from DBpedia describing the main con...

Merging virtual object with human video sequence is an important technique for many applications such as special effects in movies and augmented reality. In a traditional method, the operator manually fit 3D body model onto the human video sequence, and generate virtual objects at the current 3D body pose. However, the manual fitting is a time consuming task, and the automatic registration is r...

Camera based systems have been a preferred choice in many motion tracking applications due to the ease of installation and the ability to work in unprepared environments. The concept of these systems is based on extracting image information (colour and shape properties) to detect the object location. However, the resolution of the image and the camera field-ofview (FOV) are two main factors tha...