The paper presents a simulation approach to photogrammetry-based three-dimensional (3D) data acquisition. Photogrammetry requires capturing of series of overlapping photos with certain properties from which 3D reconstruction is later obtained. Scanning a building or a human or jewellery requires different numbers of cameras, setup parameters, spatial orientations, etc. Without precise information on how to effectively take photos, obtaining them can be tedious work without any guarantees that it will provide sufficient 3D reconstruction quality. The proposed simulation approach aims to ease the aforementioned burdens and contributes by improving the process of photogrammetry-based 3D data acquisition. The presented simulator is tested in the context of the development of a 3D scanning system for human body scanning and avatar creation. The experiments confirm that the proposed method leads to an improved quality of 3D object reconstruction in comparison to previous practice in the field of 3D human scanning. Further, it lowers the cost and shortens the time required for the industrial process of construction of 3D scanning systems, thus confirming the value and validity of the presented approach.

This paper represents an introduction to our work aiming at developing medical image streaming over DICOM networks. Medical image streaming represents a mechanism for efficient transmission of medical images to mobile devices. DICOM standard as de facto standard for medical image communication does not support image streaming. Therefore, to achieve medical image streaming it is necessary to extend DICOM standard with the support for image streaming. We researched whether DICOM can be extended and how should it be extended to support image streaming. Two transparent extensions of the standard DICOM message have been proposed: by a set of parameters or by a parameter string. Prototype applications have been developed to test these DICOM extensions. We favor the solution of parameter string based on JPIP syntax because it combines powerful JPEG2000 compression and JPEG2000 streaming over DICOM networks. The proposed extensions represent a solid ground for employing medical image streaming over DICOM networks.

In this paper we research the influence of background subtraction on photogrammetry pipeline when creating 3D print ready human body data. Background subtraction is a technique in image processing where image background is removed from the image and only foreground is left for further processing. The goal of the paper is to assess whether background subtraction could influence positively or negatively the photogrammetric processing of photographs. The research is aimed at the freely available software that natively does not support background subtraction, but also does not forbid the use of background subtraction. We aim to find out whether the software could benefit from adding background subtraction algorithms into their processing pipelines.

Animated three-dimensional (3D) models are an essential part of interactive content available in products of present day movie and gaming industries. Time required for manual development of animated 3D models is a limiting factor in many of their practical applications. In order to minimize the production time of animated 3D models and, thus, lower costs, there is a need for automation of the animation process. This paper presents an approach to the programmatic addition of animations to automatically rigged avatars stored using the industry-standard FBX file format. The presented solution is developed using the C++ programming language and the Autodesk FBX Software Development Kit (SDK). It allows significantly higher degree of automation and programmability than other standard approaches, based on using standard 3D modelling and animation software, such as Autodesk 3Ds Max or Maya.