Journals starting with ftcg

FTCGV( Vol No. ) * *Foundations and TrendsŪ in Computer Graphics and Vision

FTCGV(1) * Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis
* Monocular Model-Based 3D Tracking of Rigid Objects: A Survey
* Object Categorization

FTCGV(10) * Crowdsourcing in Computer Vision
* Hyper-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision
* Path to Path-Traced Movies, The
* Publishing and Consuming 3D Content on the Web: A Survey

FTCGV(11) * Discrete Graphical Models: An Optimization Perspective
* Line Drawings from 3D Models: A Tutorial

FTCGV(12) * Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
* Deep Learning for Multimedia Forensics

FTCGV(13) * Comprehensive Review of Modern Object Segmentation Approaches, A
* Deep Learning for Image/Video Restoration and Super-Resolution
* Video Summarization Overview

FTCGV(14) * Semantic Image Segmentation: Two Decades of Research
* Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

FTCGV(15) * Introduction to Neural Data Compression, An
* Learning-based Visual Compression
* Towards Better User Studies in Computer Graphics and Vision

FTCGV(2) * Image Alignment and Stitching: A Tutorial
* Image-Based Rendering
* Mesh Parameterization Methods and Their Applications
* Stochastic Grammar of Images, A

FTCGV(3) * Appearance of Human Skin: A Survey, The
* Image and Video Matting: A Survey
* Local Invariant Feature Detectors: A Survey

FTCGV(4) * 3D Reconstruction from Multiple Images Part 1: Principles
* Bilateral Filtering: Theory and Applications
* Kernel Methods in Computer Vision
* Principles of Appearance Acquisition and Representation

FTCGV(5) * Computational Symmetry in Computer Vision and Computer Graphics
* Geodesic Methods in Computer Vision and Graphics

FTCGV(6) * Camera Models and Fundamental Concepts Used in Geometric Computer Vision
* Structured Learning and Prediction in Computer Vision

FTCGV(7) * Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
* Full-Reference Image Quality Metrics: Classification and Evaluation

FTCGV(8) * Domain Adaptation for Visual Recognition
* Fresh Look at Generalized Sampling, A
* Sparse Modeling for Image and Vision Processing

FTCGV(9) * Multi-View Stereo: A Tutorial
* Survey of Photometric Stereo Techniques, A

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