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AMENet is a monocular depth estimation network designed for automatic stereoscopic display
Nature
Monocular depth estimation has a wide range of applications in the field of autostereoscopic displays, while accuracy and robustness in...
7 months ago
Markerless human pose estimation for biomedical applications: a survey
Frontiers
We include here 25 approaches to HPE and more than 40 studies of HPE applied to motor development assessment, neuromuscolar rehabilitation, and gait & posture...
3 months ago
A synthetic digital city dataset for robustness and generalisation of depth estimation models | Scientific Data
Nature
Existing monocular depth estimation driving datasets are limited in the number of images and the diversity of driving conditions.
7 months ago
Smart insect-computer hybrid robots empowered with enhanced obstacle avoidance capabilities using onboard monocular camera
Nature
This paper proposes a navigation algorithm with an integrated obstacle avoidance module using a monocular camera for the insect-computer hybrid robot.
3 months ago
An Effective Method for Sensing Power Safety Distance Based on Monocular Vision Depth Estimation
Wiley Online Library
As an important index of risk protection, the safety distance is crucial to ensure the safe and stable operation of the power system and the...
17 months ago
Monocular 3D Object Detection in Autonomous Driving — A Review
Towards Data Science
This blog post is live and I will update it as more papers are published. Updates: Add RTM3D (01/15/2020); Add Virtual Camera from Mapillary...
58 months ago
Typical functional flow-chart of direct voting-based 6D object pose estimation methods
ResearchGate
This paper presents a comprehensive survey on vision-based robotic grasping. We conclude three key tasks during vision-based robotic grasping.
32 months ago
Tomato Fruit Detection and Counting in Greenhouses Using Deep Learning
Frontiers
Accurately detecting and counting fruits during plant growth using imaging and computer vision is of importance not only from the point of...
47 months ago
What makes the unsupervised monocular depth estimation (UMDE) model training better
Nature
Pre-training via our MineNavi dataset can improve the performance of depth estimation model and speed up the convergence of the model on real scene data.
22 months ago