
Geometry and Vision
Description
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The 29 papers were thoroughly reviewed and selected from 50 submissions. They cover topics in areas of digital geometry, graphics, image and video technologies, computer vision, and multimedia technologies.
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Content
A New Noise Generating Method Based onGaussian Sampling for Privacy Preservation.- Traffic-Sign Recognition Using Deep Learning.- Tree Leaves Detection Based on Deep Learning.- Deep Learning in Medical Applications: Lesion Segmentation in Skin Cancer Images using Modified and Improved Encoder-Decoder Architecture.- Apple Ripeness Identification Using Deep Learning.- A Hand-Held Sensor System for Exploration and Thermal Mapping of Volcanic Fumarole Fields.- Traffic Sign Recognition Using Guided Image Filtering.- Towards a generic Bicubic Hermite meshtemplate for cow udders.- Sign Language Recognition from Digital Videos Using Deep Learning Methods.- New Zealand Shellfish Detection, Recognitionand Counting: a Deep Learning Approach on Mobile Devices.- Coverless Video Steganography Based on Inter Frame Combination.- Character Photo Selection for Mobile Platform.- Close Euclidean Shortest Path Crossing an Ordered 3D Skew Segment Sequence.- A lane line detection algorithm based on convolutional neural network.- Segment-and Arc-based Vectorizations by Multi-scale/Irregular Tangential Covering.- Algorithms for Computing TopologicalInvariants in Digital Spaces.- Discrete Linear Geometry on Non-Square Grid.- Electric scooter and its rider detection framework based on deep learning for supporting scooter-related injury emergency services.- Tracking Livestock using a Fully Connected Network and Kalman Filter.- A Comparison of Approaches for Synchronizing Events in Video Streams Using Audio.- Union-Retire: A New Paradigm for Single-Pass Connected Component Analysis.- Improving Object Detection in Real-world Traffic Scenes.- Comparison of Red versus Blue Laser Light forAccurate 3D Measurement of Highly Specular Surfaces in Ambient Lighting Conditions.- Fruit Detection from Digital Images Using CenterNet.- A Graph-regularized Non-local Hyperspectral Image Denoising Method.- Random convolutional network for hyperspectra limage classification.- MamboNet: Adversarial Semantic Segmentation for Autonomous Driving.- Effective Pavement Crack Delineation using a Cascaded Dilation Module and Fully Convolutional Networks.- D-GaussianNet: Adaptive Distorted Gaussian Matched Filter with Convolutional Neural Network for Retinal Vessel Segmentation.
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