Image and Video Technology

A Fused Pattern Recognition Model to Detect Glaucoma Using Retinal Nerve Fiber Layer Thickness Measurements.- A Robust Face Recognition System for One Sample Problem.- Analysis of Motion Patterns in Video Streams for Automatic Health Monitoring in Koi Ponds.- Attention-Guided Model for Robust Face Detection System.- BackNet: An Enhanced Backbone Network for Accurate Detection of Objects with Large Scale Variations.- Body detection in spectator crowd images using partial heads.- Deep Learning for Breast Region and Pectoral Muscle Segmentation in Digital Mammography.- Detection of Age and Defect of Grapevine Leaves Using Hyper Spectral Imaging.- Discrete Cosine Basis Oriented Homogeneous Motion Discovery for 360-degree Video Coding.- Double-channel 3D Convolutional Neural Network for Exam Scene Classification of Invigilation Video.- Efficient Self-Embedding Data Hiding for Image Integrity Verification with Pixel-Wise Recovery Capability.- Enhanced Transfer Learning with ImageNet Trained Classification Layer.- Equine Welfare Assessment: Horse Motion Evaluation and Comparison to Manual Pain Measurements.- Exposure Correction and Local Enhancement for Backlit Image Restoration.- Grapevine Nutritional Disorder Detection Using Image Processing.- Hierarchical Colour Image Segmentation by Leveraging RGB Channels Independently.- High-Resolution Realistic Image Synthesis from Text Using Iterative Generative Adversarial Network.- Human shape reconstruction with loose clothes from partially observed data by pose specific deformation.- Improved Saliency-enhanced Multi-cue Correlation-filter-based Visual Tracking.- Measuring Apple Size Distribution From a Near Top-down Image.- Multi-Temporal Registration of Environmental Imagery using Affine Invariant Convolutional Features.- Multimodal 3D Facade Reconstruction Using 3D LiDAR and Images.- Multiview dimension reduction based on Sparsity Preserving Projections.- Non-Peaked Discriminant Analysis for Image Representation.- Prostate Cancer Classification based on Best First Search and Taguchi Feature Selection Method.- Real-Time Retinal Vessel Segmentation on High-Resolution Fundus Images Using Laplacian Pyramids.- RVNet: Deep Sensor Fusion of Monocular Camera and Radar for Real-Time Obstacle Detection in Challenging Environments.- Semantic Segmentation of Grey-scale Traffic Scenes.- Shoeprint Extraction via GAN.- Turnstile jumping detection in real-time video surveillance.- Unsupervised Deep Features for Privacy Image Classification.