Latest Research on Computer Vision and Image Processing

Dear Colleagues,

Computer vision is an artificial intelligence discipline focused on instructing computers to comprehend and interpret visual data from the surrounding environment. By harnessing digital images captured by cameras and videos, in conjunction with deep learning algorithms, computers can proficiently discern and categorize objects, subsequently enabling them to respond to visual stimuli effectively.

Currently, this discipline is supported by the concepts of image processing, feature detection and matching by pattern recognition and driven by artificial intelligence technologies such as machine learning and deep learning, neural networks, image recognition and classification and object detection.

Challenges and limitations in computer vision are related to the following: data quality and quantity to increase accuracy; environmental sustainability, trade-off between increased computational requirements and energy efficiency; ethical and privacy concerns. 

Research topics and application fields of interest for this Special Issue include, but are not limited to, the following:

• Augmented reality
  • Transformatives sectors: manufacturing, retail, education and technological advances.
• Vision models
  • Deep learning techniques in computer vision.
  • Integration of vision and language in robotics.
• Advanced satellite vision
  • Monitoring environmental and urban changes.
  • Disaster response and management.
  • Agricultural applications.
  • Climate change analysis.
• 3D computer vision
  • Novel view rendering.
  • Generation of synthetic data for deep learning.
  • Enhancing autonomous vehicles and digital twin modeling.
• Ethics in computer vision
  • Related to bias and privacy.
• Edge computing
• Computer vision in healthcare
  • Medical image analysis.
  • Aiding surgeries.
  • Patient monitoring.

• Synthetic data and generative AI
• Real-time computer vision
• Applications in enhancing security.
• Crowd monitoring and management.
• Industrial safety.

• Deepfake detection

Dr. Manuel Jesús Rodríguez Valido
Dr. Fernando Perez Nava
Prof. Dr. Gustavo Sutter Capristo
Guest Editors

Manuscript Submission Information

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• computer vision
• image and video processing
• image and video understanding
• computer vision applications
• machine learning
• artificial intelligence
• ethics
• deepfakes
• sustainability