... example, depth completion [38,39,55], which recovers a dense depth map from sparse depth measurements, can be performed more accurately and more reliably than monocular ... Depth Map Decomposition for Monocular Depth Estimation 19.
The goal of this review is to provide an overview of the diverse concepts and ideas on the way towards more general techniques than traditional photometric stereophonic.
... Depth map via monocular dense depth sensing, used to segment out objects in the FOV, depth range target 0.3–30 m, accuracy within 1 % at 1 m, and within 10 % at 30 m – Scene labeling and pixel labeling, based on attributes of segmented ...
... example, stereo or multiview techniques require multiple cameras, active illumination techniques may have limited resolution or require timeconsuming scanning ... Monocular Depth Estimation with a Single Transient 1 Introduction.
... Monocular Depth Estimation for Elevation Classification in 2D Drone-Based Imagery Jacob Vishal, Somdeb Datta ... example, Lidar data, etc.) for estimating the elevation makes the task even more nonconventional. There are state-of ...
... estimation [ 5 ] . Both sensors have their advantages and are highly com- plementary . For example , monocular ... depth estimation ) . On the other hand , radar enables instantaneous ego - velocity estimates but cannot provide good ...
... example, shows a real 3D scene A and a virtual one B. For simplicity, the occlusion on the x− z plane is analyzed ... depth determination in the case of occlusion, and it must be explained that there is no need for depth ...
... Metrics are threshold accuracy (δi < 1.25i), average relative error (REL), root mean squared error (RMS), and average (log10) error. Arrows indicate if higher or lower values are better. For ... Monocular Depth Estimation Experiments.
... depth estimation that does not require constructing an explicit cost-volume metric; (ii) We propose a way of ... monocular depth estimation [1,12], while left–right stereo reconstruction [10,13] relies on the 1D correlation layer ...