Results 91 to 100 of about 64,265 (283)
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Expectation–Maximization Method for RGB-D Camera Calibration with Motion Capture System
PhotonicsCamera calibration is an essential research direction in photonics and computer vision. It achieves the standardization of camera data by using intrinsic and extrinsic parameters.
Jianchu Lin +6 more
doaj +1 more source
Utilizing Relevant RGB–D Data to Help Recognize RGB Images in the Target Domain
International Journal of Applied Mathematics and Computer Science, 2019 With the advent of 3D cameras, getting depth information along with RGB images has been facilitated, which is helpful in various computer vision tasks. However, there are two challenges in using these RGB-D images to help recognize RGB images captured by
Gao Depeng +5 more
doaj +1 more source
A Fast and Robust Extrinsic Calibration for RGB-D Camera Networks
Sensors, 2018 From object tracking to 3D reconstruction, RGB-Depth (RGB-D) camera networks play an increasingly important role in many vision and graphics applications. Practical applications often use sparsely-placed cameras to maximize visibility, while using as few
Po-Chang Su +4 more
doaj +1 more source
3D Mapping of indoor environments using RGB-D Kinect camera for robotic mobile application [PDF]
, 2010 RGB-D cameras are new, low cost, sensors that provide depth information for every RGB pixel acquired. Combining this information, it is possible to develop 3D perception in an indoor environment.
Perez Bonnal, Emmanuel
core
Matterport3D: Learning from RGB-D Data in Indoor Environments
, 2017 Access to large, diverse RGB-D datasets is critical for training RGB-D scene understanding algorithms. However, existing datasets still cover only a limited number of views or a restricted scale of spaces.
Chang, Angel +8 more
core +1 more source
Applications of RGB-D Cameras in Healthcare
, 2023 RGB-D cameras are a type of imaging device that includes a standard colour camera and a depth sensor. The depth sensor records depth images, where each pixel measures the distance of the target from the camera. Using data from the RGB-D camera, we can recon- struct a three-dimensional scene.
openaire +1 more source
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Generalized Boundaries from Multiple Image Interpretations [PDF]
, 2012 Boundary detection is essential for a variety of computer vision tasks such as segmentation and recognition. In this paper we propose a unified formulation and a novel algorithm that are applicable to the detection of different types of boundaries, such ...
Leordeanu, Marius +2 more
core
Enhancing Metric Perception with RGB-D Camera [PDF]
, 2013 Metric measurement of environment has fundamental role in tasks such as interior design and plant maintenance. Conventional methods for these tasks suffer from high development cost or unstability. We propose a mobile metric perception enhancement system which focuses on interactivity through user locomotion.
Daiki Handa +2 more
openaire +1 more source