Multi View Stereo Reconstruction Algorithms
Found 4 free book(s)
3D Reconstruction from Multiple Images
cvgl.stanford.edu3.4 Multi View Stereo The Multi View Stereo algorithms are used to generate a dense 3D reconstruction of the object or scene. The techniques are usually based on the measurement of a consistency function, a function to measure whether \this 3D model is …
KinectFusion: Real-Time Dense Surface Mapping and …
www.microsoft.comand multi-view stereo (MVS) has produced many compelling re-sults, in particular accurate camera tracking and sparse reconstruc-tions (e.g. [10]), and increasingly reconstruction of dense surfaces (e.g. [24]). However, much of this work was not motivated by real-time applications. Research on simultaneous localisation and mapping (SLAM) has
Digging Into Self-Supervised Monocular Depth Estimation
openaccess.thecvf.comthe novel view given the relative pose between those two views. Classical binocular and multi-view stereo methods typically address this ambiguity by enforcing smoothness in the depth maps, and by computing photo-consistency on patches when solving for per-pixel depth via global opti-mization e.g. [11].
Digging Into Self-Supervised Monocular Depth Estimation
arxiv.orgstereo algorithms, improving depth predictions. 2.2. Self-supervised Depth Estimation In the absence of ground truth depth, one alternative is to train depth estimation models using image reconstruction as the supervisory signal. Here, the model is given a set of im-ages as input, either in the form of stereo pairs or monocu-lar sequences.