Frontiers of Computer Vision

This volume constitutes the revised selected papers of 31st International Workshop on Frontiers of Computer Vision, IW-FCV 2025, in Seoul, South Korea, during February 1012, 2025.

Inhalt

.- Extracting Temporal Features Robust to Headwear Variation from Video Sequences of
Body Sway for Person Identification.
.- Multi-group Vision Semantic Centroid for Semantic Segmentation.
.- A Cross-Modal Knowledge Distillation Approach for RGB-to-Infrared Video Action
Recognition.
.- Automating Wood Grain Sensory Evaluation via Image Feature Fusion Approach using
Vision-Language Models.
.- Behavior Analysis of Grokking with Flooding.
.- A Pseudo Optical-Axis-Matching Projector-Camera System by Using Intermediate
Viewpoint Image Generation.
.- Multi-View Images Acquisition for Digital Content Creation of Cultural Heritage.
.- Cherry Packing Skill Proficiency Classification Using Hand Motion Analysis.
.- Visual Feedback Control of an Underactuated Hand for Grasping Objects of Varying
Stiffness.
.- CATS+: Cultural heritage data Augmentation and Transformation System with Correlation Analysis.
.- Mask-Guided Region-Specific Editing in Diffusion Models .
.- Lighting Condition Discrimination Based on Hyperspectral Images.
.- Reflectance and Illumination Estimation from A Known Reflectance for Classification.
.- Detection of Red Tide Plankton in Automatic Microscope System Imaging Using Deep
Learning.
.- Self-Attention-Driven Refinements for Training-Free Segmentation in Diffusion
Transformers.
.- Character Restoration System for Shihai-monjo in Ancient Document Images Based
on Image Inpainting Technique.
.- From Single to Unified Training: Evaluating Multi-Organ Segmentation Techniques.
.- Occlusion Robust 2D Pose-Based Gait Recognition.
.- Vision-based Human Fall Detection with Pre-trained YOLO Models: Comparison and
Application.
.- Improving Impurity Detection in Laver Images through Data Augmentation.
.- 3D Annotation System for Work Assistance in Living Environments.
.- Personal Protective Equipment Detection Based on Improved YOLO11-Nano using
Multi-Perspective Attention.
.- Preliminary experiments for behavior log generation considering spatial relationship
between actions and objects.