Search results with tag "View stereo"
A Taxonomy and Evaluation of Dense Two-Frame Stereo ...
vision.middlebury.eduMost stereo correspondence methods compute a univalued disparity function d(x,y)with respect to a reference image, which could be one of the input images, or a “cyclopian” view in between some of the images. Other approaches, in particular multi-view stereo meth-ods, use multi-valued [113], voxel-based [101, 67, 34, 33,
MVSNet: Depth Inference for Unstructured Multi-view Stereo
openaccess.thecvf.comMulti-view stereo (MVS) estimates the dense representation from overlapping images, which is a core problem of computer vision extensively studied for decades. Traditional methods use hand-crafted similarity metrics and engineered ... current state-of-the-art algorithms [7,36,8,32] perform very well on the accu-racy, the reconstruction ...
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].
KinectFusion: Real-Time Dense Surface Mapping and …
www.microsoft.commulti-view stereo techniques while relying on sparse models for estimating the sensor motion. [19], using a monocular camera and dense variational optical flow matching between selected frames, were able to reconstruct a patchwork of depth maps to form a dense scene model live; but relied on camera pose estimates coming from PTAM.