Results 31 to 40 of about 1,186,680 (282)

Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences

open access: yes, 2020
The dense depth estimation of a 3D scene has numerous applications, mainly in robotics and surveillance. LiDAR and radar sensors are the hardware solution for real-time depth estimation, but these sensors produce sparse depth maps and are sometimes ...
Mathew, Alwyn   +2 more
core   +1 more source

Unpaired Underwater Image Synthesis with a Disentangled Representation for Underwater Depth Map Prediction

open access: yesSensors, 2021
As one of the key requirements for underwater exploration, underwater depth map estimation is of great importance in underwater vision research. Although significant progress has been achieved in the fields of image-to-image translation and depth map ...
Qi Zhao   +3 more
doaj   +1 more source

Learning Single-Image Depth from Videos using Quality Assessment Networks

open access: yes, 2019
Depth estimation from a single image in the wild remains a challenging problem. One main obstacle is the lack of high-quality training data for images in the wild.
Chen, Weifeng, Deng, Jia, Qian, Shengyi
core   +1 more source

Surface Normals in the Wild

open access: yes, 2017
We study the problem of single-image depth estimation for images in the wild. We collect human annotated surface normals and use them to train a neural network that directly predicts pixel-wise depth. We propose two novel loss functions for training with
Chen, Weifeng, Deng, Jia, Xiang, Donglai
core   +1 more source

FastDepth: Fast Monocular Depth Estimation on Embedded Systems

open access: yes, 2019
Depth sensing is a critical function for robotic tasks such as localization, mapping and obstacle detection. There has been a significant and growing interest in depth estimation from a single RGB image, due to the relatively low cost and size of ...
Karaman, Sertac   +4 more
core   +1 more source

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

open access: yes, 2018
Depth estimation from a single image is a fundamental problem in computer vision. In this paper, we propose a simple yet effective convolutional spatial propagation network (CSPN) to learn the affinity matrix for depth prediction.
C Dong   +9 more
core   +1 more source

Analytical Review of Event-Based Camera Depth Estimation Methods and Systems

open access: yesSensors, 2022
Event-based cameras have increasingly become more commonplace in the commercial space as the performance of these cameras has also continued to increase to the degree where they can exponentially outperform their frame-based counterparts in many ...
Justas Furmonas   +2 more
doaj   +1 more source

Toward Depth Estimation Using Mask-Based Lensless Cameras

open access: yes, 2017
Recently, coded masks have been used to demonstrate a thin form-factor lensless camera, FlatCam, in which a mask is placed immediately on top of a bare image sensor.
Asif, M. Salman
core   +1 more source

Alveolar Soft Part Sarcoma in Pediatric and Young Adult Patients: A Report From the Children's Oncology Group Study ARST0332

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Alveolar soft part sarcoma (ASPS) is a rare soft tissue sarcoma occurring most commonly in adolescence and young adulthood. Methods We present the clinical characteristics, treatments, and outcomes of patients with newly diagnosed ASPS enrolled on the Children's Oncology Group study ARST0332.
Jacquelyn N. Crane   +11 more
wiley   +1 more source

Self-supervised monocular depth estimation for high field of view colonoscopy cameras

open access: yesFrontiers in Robotics and AI, 2023
Optical colonoscopy is the gold standard procedure to detect colorectal cancer, the fourth most common cancer in the United Kingdom. Up to 22%–28% of polyps can be missed during the procedure that is associated with interval cancer.
Alwyn Mathew   +3 more
doaj   +1 more source

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