images obtained by parallel two-step phase-shifting digital holography that does not require recording of intensity of reference wave vary according to the pixel-extraction direction. We evaluated the quality of obtai...
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Multimodal 3d imaging is a key technology in various areas, such as medical technology, trust-based human-robot collaboration and material recognition for recycling. This technology offers new possibilities, particula...
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ISBN:
(纸本)9781510673953;9781510673946
Multimodal 3d imaging is a key technology in various areas, such as medical technology, trust-based human-robot collaboration and material recognition for recycling. This technology offers new possibilities, particularly for the 3dperception of optically uncooperative surfaces in the VIS and NIR spectral range, e.g., transparent or specular materials. For this purpose, a thermal 3d sensor developed by Landmann et al. allows the 3ddetection of transparent and reflective surfaces without object preparation, which can be used to generate real multimodal 3ddata sets for AI-based methods. The 3dperception of optically uncooperative surfaces in VIS or NIR is still nowadays an open challenge (cf. Jiang et al.). However, to overcome this challenge with AI-based networks for segmentation, pose estimation or 3d reconstruction (monocular/stereo), data sets with optically uncooperative objects are mandatory. Currently, only few real-worlddata sets are available. This is due to the high effort and time-consuming process of generating these data sets with ground truth. Currently, transparent objects must be prepared, e.g., painted or powdered, or an identical opaque twin of the uncooperative object is needed (for 3d reconstruction). Currently, transparent object must be labeled manually for segmentation. This makes data acquisition very time consuming and elaborate. We present our multimodal 3d measurement system as well as our new measurement principle, with which we can generate real multimodal 3ddata sets with annotation without object preparation techniques. This system significantly reduces the effort required for data acquisition. We also show the advantages anddisadvantages of our measurement principle anddata set compared to other data sets (generated with object preparation), as well as the current limitations of our novel method. In addition, we discuss the key role of data sets in AI-based methods.
We experimentally compared the air temperatures measured by non-contact imaging technique using parallel phase-shifting digital holography with those measured with a thermocouple. This study revealed that the techniqu...
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High intensity lasers (>1 x 1018 W/cm2) interacting with a plasma can accelerate a spectrum of electrons whose temperature can be several mega-electron volts. It has been shown experimentally that the efficienc...
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ISBN:
(纸本)9781957171289
High intensity lasers (>1 x 1018 W/cm2) interacting with a plasma can accelerate a spectrum of electrons whose temperature can be several mega-electron volts. It has been shown experimentally that the efficiency of laser energy into this electron population is on the order of 10s of percent. There are many potential applications of laser driven sources including the acceleration of protons from a mechanism known as Target-Normal-Sheath-Acceleration and the subsequent generation of neutrons. One application is x-ray radiography. If the populations of MeV electrons are accelerated into a high-Z converter, MeV x-rays can be generated via bremsstrahlung [1].
The neuromorphic vision system (NVS) equipped with optoelectronic synapses integrates perception, storage, and processing and is expected to address the issues of traditional machine vision. However, owing to their la...
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The neuromorphic vision system (NVS) equipped with optoelectronic synapses integrates perception, storage, and processing and is expected to address the issues of traditional machine vision. However, owing to their lack of stereo vision, existing NVSs focus on 2dimage processing, which makes it difficult to solve problems such as spatial cognition errors and low-precision interpretation. Consequently, inspired by the human visual system, an NVS with stereo vision is developed to achieve 3d object recognition, depending on the prepared ReS2 optoelectronic synapse with 12.12 fJ ultralow power consumption. This device exhibits excellent optical synaptic plasticity derived from the persistent photoconductivity effect. As the cornerstone for 3d vision, color planar information is successfully discriminated and stored in situ at the sensor end, benefiting from its wavelength-dependent plasticity in the visible region. Importantly, the dependence of the channel conductance on the target distance is experimentally revealed, implying that the structure information on the object can be directly captured and stored by the synapse. The 3dimage of the object is successfully reconstructed via fusion of its planar anddepth images. Therefore, the proposed3d-NVS based on ReS2 synapses for 3d objects achieves a recognition accuracy of 97.0%, which is much higher than that for 2d objects (32.6%), demonstrating its strong ability to prevent 2d-photo spoofing in applications such as face payment, entrance guard systems, and others.
New techniques of 3dimageacquisition using coded aperture correlation holography (COACH) with unique imaging properties are presented. Among other things, COACH is applied for incoherent 3d imaging with an extended ...
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The complexity of industrial production line of non-integrated mobile industrial robot is high, which leads to the deviation of industrial robot trajectory and low working accuracy, which further affects the productio...
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The complexity of industrial production line of non-integrated mobile industrial robot is high, which leads to the deviation of industrial robot trajectory and low working accuracy, which further affects the production progress. In order to improve the stability of industrial robots, the design of intelligent three-dimensional collaborative manufacturing platform for nonholonomic mobile industrial robots based on improved binocular vision is proposed. ARM controller, data transmission and communication module, PLC control module and PLC input and output wiring module are designed, and the four functional modules work in coordination to realize accurate perception of the working area. A binocular vision model based on texture image and3d point cloud registration is constructed. The trajectory of nonholonomic mobile industrial robot is obtained by fuzzy function estimation and variational function, and the object posture is recognized. The intelligent 3d collaborative manufacturing platform of mobile industrial robot is designed by combining the intelligent 3d collaborative manufacturing technology. The test results show that the proposed method has better trajectory control effect, better sequencing performance and better robustness. It shows that this method can effectively control nonholonomic mobile industrial robots.
A deployment strategy for a ring sparse array camera applied to digital twin real-time scene fusion is proposed to address the challenges of virtual and physical data synchronization and consistency in power grid equi...
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