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Found 11 papers, 0 papers with code
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support
The attribute model is evaluated for the upsampled geometry positions.
Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling
Mostly, the visual data is transmitted from the application side to a central server where the interpretation is conducted.
Frame Rate Up-Conversion Using Key Point Agnostic Frequency-Selective Mesh-to-Grid Resampling
High frame rates are desired in many fields of application.
Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition
The benefits of the proposed data generation pipeline, especially for machine learning scenarios with limited available training data, are demonstrated by an extensive experimental validation in the context of automatic license plate recognition.
Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling
Using an extensive experimental evaluation we show that depending on the network architecture and classification task the application of FSMR during training aids the learning process.
3D Rendering Framework for Data Augmentation in Optical Character Recognition
Applying the proposed method, improvements of up to 2. 79 percentage points in terms of Character Error Rate (CER), and up to 7. 88 percentage points in terms of Word Error Rate (WER) are achieved on the subset.
Quality Assurance of Weld Seams Using Laser Triangulation Imaging and Deep Neural Networks
Due to their special characteristics, the images must be pre-processed to enable the use of a deep neural network.
Motion-Adapted Three-Dimensional Frequency Selective Extrapolation
This proposed extension solves the problem of changing content within the area considered by the 3D-FSE, which is caused by motion within the sequence.
Forensic License Plate Recognition with Compression-Informed Transformers
Forensic license plate recognition (FLPR) remains an open challenge in legal contexts such as criminal investigations, where unreadable license plates (LPs) need to be deciphered from highly compressed and/or low resolution footage, e. g., from surveillance cameras.
Frequency-Selective Geometry Upsampling of Point Clouds
The demand for high-resolution point clouds has increased throughout the last years.
Frequency-Selective Mesh-to-Mesh Resampling for Color Upsampling of Point Clouds
Secondly, we propose to apply a novel Frequency-Selective Mesh-to-Mesh Resampling (FSMMR) technique for the interpolation of the points in 2D.
