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1
Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3093873
Abstract: Curved refractive objects are common in the human environment, and have a complex visual appearance that can cause robotic vision algorithms to fail. Light-field cameras allow us to address this challenge by capturing the view-dependent…
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Keywords:
transparent objects;
curved transparent;
structure motion;
light field ... See more keywords
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Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3455849
Abstract: Due to the visual properties of reflection and refraction, RGB-D cameras cannot accurately capture the depth of transparent objects, leading to incomplete depth maps. To fill in the missing points, recent studies tend to explore…
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Keywords:
depth completion;
correlation;
transparent objects;
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0
Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3497663
Abstract: Object grasping in 3D space is crucial for robotic applications. Such tasks are performed by utilizing depth map data acquired from RGB-D images or 3D point cloud data. However, these methods struggle when dealing with…
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Keywords:
space;
attention;
using stereo;
transparent objects ... See more keywords
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2
Published in 2022 at "Applied optics"
DOI: 10.1364/ao.444708
Abstract: A simple non-interferometric incoherent light ray propagation model is introduced to perform three-dimensional profiling of transparent objects with typical thicknesses of the order of mm to cm by analyzing the distorted captured image behind the…
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Keywords:
transparent;
light reconstruction;
transparent objects;
reconstruction transparent ... See more keywords
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2
Published in 2022 at "Optics express"
DOI: 10.1364/oe.449300
Abstract: Acquiring the 3D geometry of objects has been an active research topic, wherein the reconstruction of transparent objects poses a great challenge. In this paper, we present a fully automatic approach for reconstructing the exterior…
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Keywords:
transparent objects;
first reflection;
reflection points;
surface ... See more keywords
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0
Published in 2024 at "Optics express"
DOI: 10.1364/oe.520937
Abstract: Phase shifting profilometry is an important technique for reconstructing the three-dimensional (3D) geometry of objects with purely diffuse surfaces. However, it is challenging to measure the transparent objects due to the pattern aliasing caused by…
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Keywords:
diffusion;
phase shifting;
shifting profilometry;
transparent objects ... See more keywords
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1
Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1041702
Abstract: Obtaining accurate depth information is key to robot grasping tasks. However, for transparent objects, RGB-D cameras have difficulty perceiving them owing to the objects' refraction and reflection properties. This property makes it difficult for humanoid…
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Keywords:
positional clues;
grasp leveraging;
depth;
transparent objects ... See more keywords
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4
Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.766056
Abstract: Specular reflections and refractive distortions are complex image properties of solid transparent objects, but despite this complexity, we readily perceive the 3D shapes of these objects (e.g., glass and clear plastic). We have found in…
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Keywords:
specular reflections;
transparent objects;
role specular;
perception ... See more keywords