Dimitrios Zarpalas

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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 view-points, rather than(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)
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 3Dmodel producing a new domain of concentric spheres. In this new domain, a new set of functionals is applied, resulting in a descriptor vector which is(More)
In this paper a 3D shape-based approach is presented for the efficient search, retrieval and classification of protein molecules. The method relies on the geometric 3D appearance of the proteins, which is produced from the corresponding PDB files. After proper positioning and alignment of the 3D structures, in terms of translation and scaling, the 3D(More)
R ecent film releases such as Avatar have revolutionized cinema by combining 3D technology and content production and real actors, leading to the creation of a new genre at the outset of the 2010s. The success of 3D cinema has led several major consumer electronics manufacturers to launch 3D-capable televisions and broadcasters to offer 3D content. Today’s(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)
A method for 3D model content-based search and retrieval based on the 3D Radon transform and a querying-by-3D-model approach, is presented. Descriptors are extracted using the 3D Radon transform and applying a set of functionals on the transform coefficients. Similarity measures are then created for the extracted descriptors and introduced into a 3D(More)
In this paper, we present a novel multi-sensor fusion method to build a human skeleton. We propose to fuse the joint position information obtained from the popular Kinect sensor with more precise estimation of body segment orientations provided by a small number of wearable inertial sensors. The use of inertial sensors can help to address many of the well(More)
In this paper, the problem of real-time, full 3D reconstruction of foreground moving objects, an important task for Tele-Immersion applications, is addressed. More specifically, the proposed reconstruction method receives input from multiple consumer RGB-Depth cameras. A fast and efficient method to calibrate the sensors in initially described. More(More)