Results 81 to 90 of about 45,590 (292)
CNN cell for computing disparity map
, 2001 The real-time estimation of the distance of objects from an observer is a critical issue in several application fields. A new cellular neural network circuit that uses a stereo vision algorithm to compute the disparity map is ...
BONAIUTO, VINCENZO +3 more
core +1 more source
Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?
Arthritis Care &Research, EarlyView.Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet +11 more
wiley +1 more source
Unsupervised binocular depth prediction network for laparoscopic surgery
Computer Assisted Surgery, 2019 Minimally invasive surgery (MIS) is characterized by less trauma, shorter recovery time, and lower postoperative infection rate. The two-dimensional (2D) laparoscopic imaging lacks depth perception and does not provide quantitative depth information ...
Ke Xu, Zhiyong Chen, Fucang Jia
doaj +1 more source
Spatial Uncertainty Model for Visual Features Using a Kinect™ Sensor
Sensors, 2012 This study proposes a mathematical uncertainty model for the spatial measurement of visual features using Kinect™ sensors. This model can provide qualitative and quantitative analysis for the utilization of Kinect™ sensors as 3D perception sensors.
Jae-Han Park +3 more
doaj +1 more source
Disparity map coding for 3D teleconferencing applications
, 1997 In this paper we present a combination of three steps to code a disparity map for 3D teleconferencing applications. First we introduce a new disparity map format, the chain map, which has a very low inherent redundancy.
Andr� Redert +2 more
core
Optimal optical flow based disparity map estimation for lossless stereo image coding
, 2011 In dependent stereo image compression, the aim is to minimize the bitrate of disparity map and that of residual image. Traditionally, focus has been paid on either disparity map or residual image.
Macq, Benoît +3 more
core +1 more source
Advanced Engineering Materials, EarlyView.Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley +1 more source
A Method for Adapting Stereo Matching Algorithms to Real Environments
Applied SciencesThis study challenges the commonly used testbeds and benchmarks for testing stereo matching algorithms. Although the algorithms listed in the rankings based on these testbeds score exceptionally high, stereo matching technology still suffers from major ...
Adam L. Kaczmarek
doaj +1 more source
Five-Direction Occlusion Filling with Five Layer Parallel Two-Stage Pipeline for Stereo Matching with Sub-Pixel Disparity Map Estimation. [PDF]
Sensors (Basel), 2022 Ma Y +6 more
europepmc +1 more source
, 2013 A disparity map is the output of a stereo correspondence algorithm. It is estimated in an intermediate step of a 3D information recovery process, from two or more images. A performance assessment of stereo correspondence algorithms may be addressed by a quantitative comparison of estimated disparity maps against ground-truth data.
Cabezas, Ivan, Trujillo, Maria
openaire +1 more source