Multi-view stereo is a technique used in computer vision and 3D reconstruction that involves capturing images of a scene from multiple viewpoints to accurately estimate depth information and create a three-dimensional model. This method leverages the differences in perspective between the images to derive depth, allowing for more detailed and accurate reconstructions than single-view methods. By analyzing correspondences among multiple images, multi-view stereo can improve depth perception and enhance the quality of 3D representations.
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