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3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes. The essence of an image is a projection from a 3D scene onto a 2D plane, during which process the depth is lost.
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.
Typically, the sensor is an image sensor in a camera sensitive to visible light and the input to the method is a set of digital images (one, two or more) or video. In this case we talk about image-based reconstruction and the output is a 3D model. By comparison to active methods, passive methods can be applied to a wider range of situations. [9]
The traditional approach of computer graphics has been used to create a geometric model in 3D and try to reproject it onto a two-dimensional image. Computer vision, conversely, is mostly focused on detecting, grouping, and extracting features (edges, faces, etc. ) present in a given picture and then trying to interpret them as three-dimensional ...
The 3D Morphable Model (3DMM) is a general framework that has been applied to various objects other than faces, e.g., the whole human body, [3] [4] specific body parts, [5] [6] and animals. [ 7 ] 3DMMs were first developed to solve vision tasks by representing objects in terms of the prior knowledge that can be gathered from that object class.
The feature trajectories over time are then used to reconstruct their 3D positions and the camera's motion. [12] An alternative is given by so-called direct approaches, where geometric information (3D structure and camera motion) is directly estimated from the images, without intermediate abstraction to features or corners. [13]