This proceedings contains 67 papers. 3-dimageacquisition anddisplaytechnology focuses on many applications, including virtual reality and augmented reality, medical and scientific visualization, defense, flight si...
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ISBN:
(纸本)9781943580293
This proceedings contains 67 papers. 3-dimageacquisition anddisplaytechnology focuses on many applications, including virtual reality and augmented reality, medical and scientific visualization, defense, flight simulation and training, engineering design, and entertainment. This topical meeting aims at the interdisciplinary fields to present their work in the science, technology, andapplications of non-holographic 3dimage collection anddisplay technologies. This meeting covers research areas related to the acquisition, display, andapplications of (non-holographic) 3d information as well as the perception, human factors, and visual comfort of 3d information displays. Research related to scientific understanding of 3d information display andperception, technological innovation on 3dimageacquisition or display methods, and task-specific design andapplications of 3dacquisition or displaytechnology is of particular interest. Application areas include: virtual reality, augmented reality, biomedicine, microscopy, endoscopy, healthcare, autonomous vehicle, wearable displays, and entertainment. The key terms of this proceedings include virtual and augmented reality, integral imaging, incoherent digital holography, quasi-synchronous resampling, spatial light modulator, human photonics, random diffraction gratings, interferometric system, environmental gas monitoring, quantum imaging.
Current scene parsers have effectively distilled abstract relationships among refined instances, while overlooking the discrepancies arising from variations in scene depth. Hence, their potential to imitate the intrin...
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Current scene parsers have effectively distilled abstract relationships among refined instances, while overlooking the discrepancies arising from variations in scene depth. Hence, their potential to imitate the intrinsic 3dperception ability of humans is constrained. In accordance with the principle of perspective, we advocate first grading the depth of the scenes into several slices, and then digging semantic correlations within a slice or between multiple slices. Two attention-based components, namely the Scene depth Grading Module (SdGM) and the Edge-oriented Correlation Refining Module (EoCRM), comprise our framework, the Line-of-Sight depth Network (LoSdN). SdGM grades scene into several slices by calculating depth attention tendencies based on parameters with explicit physical meanings, e.g., albedo, occlusion, specular embeddings. This process allocates numerous multi-scale instances to each scene slice based on their line-of-sight extension distance, establishing a solid groundwork for ordered association mining in EoCRM. Since the primary step in distinguishing distant faint targets is boundary delineation, EoCRM implements edge-wise saliency quantification and association digging. Quantitative anddiagnostic experiments on Cityscapes, AdE20K, and PASCAL Context datasets reveal the competitiveness of LoSdN and the individual contribution of each highlight. Visualizations display that our strategy offers clear benefits in detecting distant, faint targets.
We report a miniature Fourier Lightfield Microscope, based on a cost-effective reversed surveillance camera lens and a contact field stop. The miniscope captures efficiently 3d information, in fluorescence or brightfi...
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We developed a versatile experimental setup able to characterize the optical performance of different 3ddisplaydesigns based on far-field (spot size, lateral color) and near-field (contrast, spatial resolution, MTF)...
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We demonstrate a high-speed optical diffraction tomography method with an unprecedented three-dimensional imaging speed of over 10,000 volumes per second anddiffraction-limited resolution and apply it for high-throug...
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Three-dimensional (3d) reconstruction of dynamic objects has broadapplications, including object recognition and robotic manipulation. However, achieving high-accuracy reconstruction and robustness to motion simultan...
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Three-dimensional (3d) reconstruction of dynamic objects has broadapplications, including object recognition and robotic manipulation. However, achieving high-accuracy reconstruction and robustness to motion simultaneously is a challenging task. In this paper, we present a novel method for 3d reconstruction of dynamic objectS, whose main features are as follows. Firstly, a structured-light multiplexing method is developed that only requires 3 patterns to achieve high-accuracy encoding. Fewer projected patterns require shorter imageacquisition time, thus, the object motion is reduced in each reconstruction cycle. The three patterns, i.e. spatial-temporally encoded patterns, are generated by embedding a specifically designed spatial-coded texture map into the temporal-encoded three-step phase-shifting fringes. A temporal codeword and three spatial codewords are extracted from the composite patterns using a proposed extraction algorithm. The two types of codewords are utilized separately in stereo matching: the temporal codeword ensures the high accuracy, while the spatial codewords are responsible for removing phase ambiguity. Secondly, we aim to eliminate the reconstruction error induced by motion between frames abbreviated as motion induced error (MiE). Instead of assuming the object to be static when acquiring the 3 images, we derive the motion of projection pixels among frames. Using the extracted spatial codewords, correspondences between different frames are found, i.e. pixels with the same codewords are traceable in the image sequences. Therefore, we can obtain the phase map at each image-acquisition moment without being affected by the object motion. Then the object surfaces corresponding to all the images can be recovered. Experimental results validate the high reconstruction accuracy and precision of the proposed method for dynamic objects with different motion speeds. Comparative experiments show that the presented methoddemonstrates superior performance
Band-limited illumination profilometry (BLIP) is a reconfigurable phase-shifting fringe projection profilometry modality with a field-of-view of 1.7 m × 1.1 m and at a 3d imaging speed of up to 1200 frames per se...
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