Thanks to this, 3D technology enables new means of expression and allows providing the audience with impressions unreachable with Two-Dimensional (2D) imaging technology. Stereoscopy, a technique imitating three-dimensional vision, allows reproducing not only the shape and colour of objects, but also their mutual position in space and distance from the observer. Stereopsis-the natural ability of humans and animals to see the 3D world -still presents a challenge to emulate in the electronic and IT world.
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The system can process a video stream with full HD resolution at a speed of several frames per second. The application of the described GPU-based method makes the system efficient and easy to use. The paper presents the evaluation results of the algorithms’ accuracy, as well as the comparison of the performance of two implementations-with and without the GPU acceleration. Both of them are implemented with the use of a GPU to improve the data processing efficiency. Thus, they can be used in non-cooperative environments, such as a film set, where the camera configuration often changes. The algorithms selected and implemented for the needs of this system do not require knowledge of intrinsic and extrinsic camera parameters. The main steps of the proposed solution are uncalibrated rectification and disparity map estimation.
The paper also describes an efficient method of analysing a 3D video using Graphics Processing Unit (GPU). Objective depth analysis using computer tools while recording scenes allows stereographers to immediately spot errors in the 3D image, primarily related to the violation of the viewing comfort zone.
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The system acquires full HD video streams from professional cameras using Serial Digital Interface (SDI), synchronises them, and estimates and analyses the disparity map. The paper presents a prototype of an independent, non-invasive diagnostic system that supports the film crew in the process of calibrating stereoscopic cameras, as well as analysing the 3D depth while working on a film set.
The detection of errors typical for stereo vision related to the depth of the image (e.g., depth budget violation, stereoscopic window violation) during the recording allows for their correction already on the film set, e.g., by different scene layouts and/or different camera configurations. Despite better post-production techniques, fixing errors in a captured image can be difficult, time consuming, and sometimes impossible. Therefore, planning and then ensuring the correct parameters and quality of the recorded 3D video is essential. However, preparing a correct 3D image that does not cause perception problems for the viewer is still a complex and demanding task. The development of electronic and IT technologies enables the achievement of a better and better quality of the recorded 3D image and many possibilities for its correction and modification in post-production.
The creators of movies, games, and augmented reality applications are aware of this technology’s advantages, possibilities, and new means of expression. In recent years, cinematography and other digital content creators have been eagerly turning to Three-Dimensional (3D) imaging technology.