Artificial Vision Applications (A.V.A) - University of Córdoba
Welcome to the Artificial Vision Applications (A.V.A) research group at the University of Córdoba. Established in 1998, our group focuses on developing innovative solutions in computer vision, applying advanced techniques to solve complex problems in various fields.
Research Areas
- Computer Vision and 3D Scanning: Improving current 3D scanning techniques and methods for robust and cost-effective applications.
- Camera Localization & Augmented Reality: Developing precise camera positioning systems and innovative augmented reality solutions.
- Human Analysis: Advanced methods for human pose estimation, interaction recognition, and gait analysis.
- Image Processing: Image segmentation, edge detection, and polygonal approximations for accurate shape analysis and object recognition.
Featured Software Tools
- DeepArUco++: Advanced ArUco marker detection under challenging lighting conditions. Learn More
- SONAR: A virtual reality-based sign language training platform.
- Fiducial Objects: Customizable multiplanar markers for enhanced camera pose estimation.
- SSLAM: Efficient combination of keypoints and artificial markers for simultaneous localization and mapping. More Info
Public Datasets
- UCOPhyRehab: Dataset for human pose estimation in physical rehabilitation scenarios. Explore
- UCO-LAEO: Database for training systems to recognize human gaze and interactions.
- AVAMVG: Dataset for multi-view gait recognition.
- UCOHead: A dataset for head pose estimation research.
Featured Publications
- Health&Gait: Dataset for gait-based health analysis. Read More
- Sparse Point-based SLAM with Fiducial Markers (SPM-SLAM): Real-time camera localization and mapping using fiducial markers. View Paper
Connect With Us
Artificial Vision Applications Group, Campus de Rabanales - Edificio C2 (3rd Floor), University of Córdoba, Córdoba, Spain.