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Visual 3D Modeling from Images and Videos - a tech-report describes the theory, practice and tricks on 3D reconstruction from images and videos. Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks - Generate and reconstruct 3D shapes via modeling multi-view depth maps or silhouettes.
2D to 3D video conversion (also called 2D to stereo 3D conversion and stereo conversion) is the process of transforming 2D ("flat") film to 3D form, which in almost all cases is stereo, so it is the process of creating imagery for each eye from one 2D image.
Is also known as single image random dot stereogram (SIRDS). This term also refers to autostereograms where the hidden 3D image is created using a random pattern of dots within one image, [29] shaped by a depth map within a dedicated stereogram rendering program. [32] Wallpaper autostereogram/object array stereogram/texture offset stereogram
A scenery generator is software used to create landscape images, 3D models, and animations. These programs often use procedural generation to generate the landscapes. If not using procedural generation to create the landscapes, then normally a 3D artist would render and create the landscapes. These programs are often used in video games or movies.
Depth maps can be generated by 3D scanners [4] or reconstructed from multiple images. [5] In Machine vision and computer vision, to allow 3D images to be processed by 2D image tools. Generating and reconstructing 3D shapes from single or multi-view depth maps or silhouettes [3] Making depth image datasets. [6]
2D digital image acquisition is the information source of 3D reconstruction. Commonly used 3D reconstruction is based on two or more images, although it may employ only one image in some cases. There are various types of methods for image acquisition that depends on the occasions and purposes of the specific application.
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