Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"downsampling"”.
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Benchmarking convolutional neural networks for object segmentation and pose estimation
… object symmetry and resolution loss due to downsampling followed by upsampling in the networks, respectively, are also identified in this thesis. These findings can be used to guide and improve the development of CNNs for object segmentation and pose estimation in the future.
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Signal representations: from images to irregular-domain signals
… by weighted graphs, are investigated. A downsampling scheme for signals on general graphs based on maximum spanning trees is discussed in our third work. This framework provides a fast approximation of the max-cut, a criterion for downsampling on graphs, as well as a bipartite graph …
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Deep learning-based optimization of light field processing
… we propose a light-field-specific task-driven downsampling pre-processing algorithm and a depth-calibration deep learning framework designed for light field technology to ad- dress these issues. In experiment, we validate the effectiveness of our proposed methods from both quantitative and …
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3D Reconstruction of Building Interiors Using Point Clouds
… methods and the robustness against noises and downsampling.
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Design and implementation of discrete-time filters for efficient sampling rate conversion
… also reviewed to demonstrate that an efficient downsampling structure also implies an equally efficient, closely-related upsampling structure. Techniques are investigated for designing minimum multiply filters for the class of structures presented, and methods are discussed for designing filters …
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Using Random Sampling Consensus (RANSAC) to Detect Errors in Global Navigation Satellite Systems (GNSS) Signals and Data
… be used to detect and identify error sources. A downsampling and thresholding method was able to identify first-order biases with slopes on the order of 10̄ ⁶ within minutes, while biases with slopes on the order of 10̄ ⁷ were identified on the order of one hour. The residuals from RANSAC and …
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Anomaly detection in semiconductor manufacturing through time series forecasting using neural networks
… training sets of multiple recipes. Furthermore, downsampling is explored to reduce training times and has been found to have minor effects on the accuracy of the model. Moreover, an unsupervised approach towards anomaly detection is found to have little success in detecting anomalous points in …
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Learning Privacy-Preserving Transferable Video Representations
… to alleviate these problems by blurring faces, downsampling videos, or training on synthetic data. On the other hand, analysis on the transferability of privacy-preserving pretrained models to downstream tasks has been limited. In this work, we study this problem by first asking the question: can …
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Novel Multitemporal Synthetic Aperture Radar Interferometry Algorithms and Models Applied on Managed Aquifer Recharge and Fault Creep
… addressing systematic errors through dyadic downsampling and Delaunay Triangulation. A novel statistical framework is developed for elite pixel selection, considering distributed and permanent scatterers, and a tropospheric error correction method using smooth 2D splines effectively …
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Techniques for Reliable and Efficient Analog to Digital Conversion
… needs to be reduced, which can be achieved by downsampling and data bit truncation. Adaptive operation according to environment information may help improve the overall system performance. Techniques to intelligently perform such operation and the potential benefits of such operation are also …
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Digitale Signalverarbeitung für Lautsprecher
… in the lower frequency bands with FIR filters, a downsampling scheme is used. The resulting process delay can be reduced by using minimum-phase low-pass filters in the down- and upsampling stages. Regarding the resulting frequency- and impulse responses of the equalised loudspeakers, FIR filters …
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Image Co-saliency Detection and Co-segmentation from The Perspective of Commonalities
… the resource cost, reduced input size, less downsampling and dilation convolution are adopted in the proposed model. Experimental results on the public dataset demonstrate that the proposed model achieves a comparable performance to the state-of-the-art methods while the network has …
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Compressive sensing of images and video: towards low-complexity, real-time operation
… with an antialiasing filter to perform downsampling on an MPC. GPU-based reconstruction algorithms are used to super resolve the downsampled images at the decoder in real time improving quality at high compression. Two algorithms are developed to quantize and code ABCS sensed frames for …
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Imaging The Vasculature With Susceptibility Weighted Imaging: Applications And Analysis
… echo times required for good venous contrast. A downsampling filter is then used to restore lost venous phase contrast caused by isotropic resolution. Using these techniques good arterial contrast distal to the middle cerebral artery (MCA) and good venous contrast can be obtained from a single …
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Structural Wireless Delamination Sensor
… effect of low sampling frequency was studied by downsampling of the acquired signal by a factor of 100. When Q was large (Q= 18), a change of∼2 kHz in the resonant frequency could be detected, corresponding to a change in capacitance of∼100 pF. At smaller values of Q∼1, challenges encountered in …
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Advancing Digital Image Correlation with Low-Speed Cameras for Structural Dynamics
L'abstract è presente nell'allegato / the abstract is in the attachment