Results 11 to 20 of about 120,019 (255)
Analysis of Depth Cameras for Proximal Sensing of Grapes
This work investigates the performance of five depth cameras in relation to their potential for grape yield estimation. The technologies used by these cameras include structured light (Kinect V1), active infrared stereoscopy (RealSense D415), time of ...
Baden Parr, Mathew Legg, Fakhrul Alam
doaj +4 more sources
Event Guided Depth Sensing [PDF]
Active depth sensors like structured light, lidar, and time-of-flight systems sample the depth of the entire scene uniformly at a fixed scan rate. This leads to limited spatiotemporal resolution where redundant static information is over-sampled and precious motion information might be under-sampled.
Manasi Muglikar +2 more
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This paper presents a high-linearity high-resolution time-of-flight (ToF) linear-array digital image sensor using a time-domain negative feedback technique.
Juyeong Kim +3 more
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The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection [PDF]
Bridge inspections are a vital part of bridge maintenance and the main information source for Bridge Management Systems is used in decision-making regarding repairs.
Bartosz Wójcik, Mateusz Żarski
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Research on Omnidirectional Stereo Measurement Using Convex Mirrors and Vertical Disparity
We propose an omnidirectional measurement method without blind spots by using a convex mirror, which in principle does not cause chromatic aberration, and by using vertical disparity by installing cameras at the top and bottom of the image.
Yuki Ozawa +4 more
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Environment-Aware Rendering and Interaction in Web-Based Augmented Reality
This work presents a novel framework for web-based environment-aware rendering and interaction in augmented reality based on WebXR and three.js. It aims at accelerating the development of device-agnostic Augmented Reality (AR) applications.
José Ferrão +3 more
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Object detection is an essential component of autonomous mobile robotic systems, enabling robots to understand and interact with the environment. Object detection and recognition have made significant progress using convolutional neural networks (CNNs ...
Stefan-Daniel Achirei +3 more
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Depth Sensing Beyond LiDAR Range [PDF]
Accepted to CVPR ...
Kai Zhang 0045 +3 more
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This paper presents a multimodal emotion recognition method that uses a feature-level combination of three-dimensional (3D) geometric features (coordinates, distance and angle of joints), kinematic features such as velocity and displacement of joints ...
Amol Patwardhan
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A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning
This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requirement for map ...
Thai Binh Nguyen +5 more
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