Dimitrios Zarpalas

Learn More
—The problem of robust, realistic and especially fast 3-D reconstruction of objects, although extensively studied, is still a challenging research task. Most of the state-of-the-art approaches that target real-time applications, such as immersive reality, address mainly the problem of synthesizing intermediate views for given viewpoints , rather than(More)
This paper presents a novel methodology for content-based search and retrieval of 3D objects. After proper positioning of the 3D objects using translation and scaling, a set of functionals is applied to the 3D model producing a new domain of concentric spheres. In this new domain, a new set of functionals is applied, resulting to a descriptor vector which(More)
In this paper, a 3D shape-based approach is presented for the efficient search, retrieval, and classification of protein molecules. The method relies primarily on the geometric 3D structure of the proteins, which is produced from the corresponding PDB files and secondarily on their primary and secondary structure. After proper positioning of the 3D(More)
Human motion estimation is a topic receiving high attention during the last decades. There is a vast range of applications that employ human motion tracking, while the industry is continuously offering novel motion tracking systems, which are opening new paths compared to traditionally used passive cameras. Motion tracking algorithms, in their general form,(More)
3D holoscopic imaging is employed and presented here as part of a three-dimensional imaging system, allowing the display of full colour images with continuous parallax within a wide viewing zone. In this paper, recent advances made by the authors with respect to the 3D holoscopic imaging technology from the point of view of optical systems and 3D image(More)
In this work we propose a model (in)validation approach to gait recognition, using a system that tries to discriminate specific activities of people. The recognition process departs from an abstraction obtained from video image sequences for different activities performed by different people , by first using a suitable representation for each frame and for(More)
This paper presents a novel descriptor for recognizing objects in highly occluded and cluttered 2.5D scenes produced by range scans. This new compact regional shape descriptor, called " projection images " , is designed to be robust against noise, partial occlusion and clutter. Projection images are formed by " projections " of points onto the plane(More)