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Gate to Computer Vision and Pattern Recognition (gtCVPR)

ISSN (online): 2408 - 0551


Aims and Scope

Gate to Computer Vision and Pattern Recognition (gtCVPR) is a quarterly published online open access journal aiming to cover the recent advances of computer vision and pattern recognition research fields (CV&PR). Its mission is to promote the research in the theory and applications of CV&PR and to constitute a gate to these areas for both the experienced and early stage researchers.



Gate to Computer Vision and Pattern Recognition (gtCVPR) journal accepts original and unpublished papers, including but not limited to the following topics:



  • Feature extraction
  • 2D/3D detection, categorization and recognition
  • Scene understanding and reconstruction
  • Shape analysis, representation and matching
  • Visual Sensors
  • Active vision
  • Affective computing
  • Face, gesture and facial expression recognition
  • Biometrics
  • Motion, tracking and video analysis
  • Illumination and reflectance modeling
  • Invariance analysis
  • Action recognition
  • Feature selection
  • Dimensionality reduction
  • Performance evaluation
  • Low level vision
  • Applications of computer vision
  • Stereo vision
  • Classification and clustering
  • Medical image analysis
  • Shading and matting
  • Segmentation and texture
  • Depth analysis and extraction
  • Physics-based vision
  • Cognitive and embodied vision
  • Computational photography
  • Color analysis
  • Deep Learning
  • Active and ensembe learning
  • Human computer interaction
  • Surveillance and security
  • Image and video retrieval, annotation, indexing
  • Datasets construction and analysis
  • Software tools, libraries and toolboxes
  • Applications of pattern recognition



The authors are encouraged to submit review, survey and performance evaluation papers.