Showing papers on "Anaglyph 3D published in 2021"
TL;DR: Wang et al. as discussed by the authors proposed a novel approach for 3D anaglyph watermarking based on cyan mosaic as an embedding target, which maximizes the compromise between invisibility and robustness against usual and malicious attacks.
Abstract: The need to protect 3D video content against pirating has become very important due to the widespread expansion of the internet and the proliferation of 3D video content consumption over networks. Several 3D video watermarking approaches have been proposed to resolve this problem, but they have been lacking efficiency to resist malicious attacks, especially the collusion attack. In fact, this attack has not been considered by most existing work. This paper proposes a novel approach for 3D anaglyph watermarking based on cyan mosaic as an embedding target. First, cyan mosaic is generated using the cyan channel extracted from the original 3D anaglyph video. Then, a signature is embedded into the obtained mosaic using Krawtchouk moments and a DCT based technique. This maximizes the compromise between invisibility and robustness against usual and malicious attacks. Finally, the marked 3D anaglyph video is obtained by combining the marked cyan video and the original red video. The experimental results illustrate good robustness against compression, collusion and several other additional attacks, such as geometric manipulation and temporal attacks. Besides, the suggested technique provides high invisibility thanks to DCT based embedding.
3 citations
06 Jul 2021
TL;DR: Anaglyph 3D functionalities are developed into the Visible Heart® Laboratories’ anatomical virtual reality platform that allows a multitude of users to wear anaglyPH “red/blue 3D glasses” and view the same anatomies the VR instructor is viewing in VR, while preserving the important 3D anatomical spatial relationships.
Abstract: Virtual reality (VR) is rapidly becoming more widely available and accessible as a technology due to the affordability of cheap computing power. This has made it possible for virtual reality systems to capture audiences in industry and education, as well as for personal use. Currently, a major limitation of VR headsets is that the user’s vision is completely occluded, making it difficult for them to interact with others. While this can be solved by having a VR headset and VR capable computer for each user, this becomes much more expensive and, often, an unrealistic solution. This becomes even more problematic in an educational setting since it is difficult for the given instructor and large groups of students to have a shared learning experience. Here, we have developed anaglyph 3D functionalities into our Visible Heart® Laboratories’ anatomical virtual reality platform. These functionalities augment what is viewed by the virtual reality user with a custom anaglyph shader which in turn projects it to an external display. This allows a multitude of users to wear anaglyph “red/blue 3D glasses” and view the same anatomies the VR instructor is viewing in VR, while preserving the important 3D anatomical spatial relationships.
2 citations
02 Jan 2021
TL;DR: The products generated with this work are very useful for everyone who wishes to investigate the topic in question, in the same way, which is an interesting tool for didactic guidance for teachers, professionals and students who seek appropriate and free tools for viewing and interpreting the relief.
Abstract: This text presents contributions to the study of relief through the use of free software for processing and interpreting Topographic Charts and producing Digital Models and Anaglyph Images. For this, the educational video “Topographic Charts, Digital Models and Anaglyph Images with Free Software” was produced (Available at: https://www.youtube.com/watch?v=WcEVBbbG-RA), demonstrating the procedures technicians for downloading geographic data and software, insertion and georeferencing in Google Earth Pro, as well as with clues for data interpretation and production of Anaglyph Images in StereoPhoto Maker. We conclude the products generated with this work are very useful for everyone who wishes to investigate the topic in question, in the same way, which is an interesting tool for didactic guidance for teachers, professionals and students who seek appropriate and free tools for viewing and interpreting the relief.
1 citations
TL;DR: In this article, a simple technique of anaglyph stereoscopic visualisation of 3D virtual cardiac models is described. But the feasibility of achieving stereovision on a personal computer, using open-source software, and the need for inexpensive anAGlyph glasses for viewing make it extremely cost-effective.
Abstract: Three-dimensional visualisation is invaluable for evaluating cardiac anatomy. Patient-specific three-dimensional printed models of the heart are useful but require significant infrastructure. The three-dimensional virtual models, derived from 3D echocardiography, computed tomographic (CT) angiography or cardiac magnetic resonance (CMR), permit excellent visualisation of intracardiac anatomy, but viewing on a two-dimensional screen obscures the third dimension. Various forms of extended reality, such as virtual reality and augmented reality, augment the third dimension but only using expensive equipment. Herein, we report a simple technique of anaglyph stereoscopic visualisation of three-dimensional virtual cardiac models. The feasibility of achieving stereovision on a personal computer, using open-source software, and the need for inexpensive anaglyph glasses for viewing make it extremely cost-effective. Further, the retained depth perception of resulting stereo images in electronic and printed format makes sharing with other members of the team easy and effective.
1 citations
10 Jan 2021
TL;DR: Zhang et al. as discussed by the authors proposed an unsupervised learning method for general feature point matching in cross-spectral settings, where they train a convolutional neural network as a feature extractor in order to satisfy the cycle consistency of the correspondences between an input image pair.
Abstract: Feature point matching is an important problem because its applications cover a wide range of tasks in computer vision. Deep learning-based methods for learning local features have recently shown superior performance. However, it is not easy to collect the training data in these methods, especially in cross-spectral settings such as the correspondence between RGB and near-infrared images. In this paper, we propose an unsupervised learning method for general feature point matching. Because we train a convolutional neural network as a feature extractor in order to satisfy the cycle consistency of the correspondences between an input image pair, the proposed method does not require supervision and works even in cross-spectral settings. In our experiments, we apply the proposed method to stereo matching, which is a dense feature point matching problem. The experimental results, which simulate cross-spectral settings with three different settings, i.e., RGB stereo, RGB vs gray-scale, and anaglyph (red vs cyan), show that our proposed method outperforms the compared methods, which employ handcrafted features for stereo matching, by a significant margin.
1 citations
05 Nov 2021
TL;DR: In this article, a pixel descriptor specially designed to deal with radiometric differences is presented, allowing for the improvement of the final reconstructed stereo pair image quality, in average, better image quality when compared with related techniques.
Abstract: Anaglyph Stereo Matching is a particular, harder, case of the widely studied Stereo Matching algorithms. When applied to Anaglyph Reversion problem helps to improve stereo content storage and transmission, stereoscopic visualization independence and access to legacy anaglyph content available on the Web. However, the reversion process is not trivial since anaglyphs have high radiometric differences between the two views of a stereo pair of images, preventing standard stereo matching algorithms to be directly used. Different from related work, this paper presents a new pixel descriptor specially designed to deal with radiometric differences, allowing for the improvement of the final reconstructed stereo pair image quality. Experimental results show the proposed method presents, in average, better image quality when compared with related techniques.
TL;DR: In this paper, the basic photogrammetric concepts such as parallax, depth perception, stereovision, and different methods of viewing the stereo images in analogue and digital environment are discussed.
Abstract: The paper concerned to the basic photogrammetric concepts and will also deal with the concept of stereophotogrammetry and it would give a brief review of the stereophotogrammetric concepts such as parallax, depth perception, stereovision, the different methods of viewing the stereo images in analogue and digital environment. This paper also explains the different digital and analogue viewing techniques such as split screen view, anaglyph view, separation by polarization, alternating
images. The conditions such as collinearity and coplanarity conditions are explained. Lastly focused the orientations such as interior relative absolute orientation model and the GCP model. There are various applications of stereo imaging in medical science but we focus in this paper mostly on the geo imaging.