Aim & Scope
Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image processing and computational vision. The journal publishes work that addresses the application of methods to real world scenes and seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the emerging components of image processing and computational vision systems. The coverage includes: image sensing, capture, processing, storage and transmission, image representation, scene modelling, object modelling and knowledge acquisition, psychophysical aspects of biological and computational vision, image databases, monitoring and surveillance, image generation, active vision and robotic systems, visual inspection, autonomous vehicles, document image understanding, character and handwritten text recognition, data fusion from multiple sensor inputs, cognitive aspects of image understanding, architecture of imaging and vision systems, embedded vision applications including wider HCI and control issues, applications of image processing and image understanding in medicine, commerce and manufacturing, remote sensing of earth resources, transport and highway control. Months of publication: January/February, March, April, May, June, July/August, September, October, November and December. Index bound in last issue of calendar year. [1]
2024
SDSDet: A real-time object detector for small, dense, multi-scale remote sensing objects
No authors listed.
Image and Vision Computing , 2024 , p 104898.
Noisy label facial expression recognition via face-specific label distribution learning
No authors listed.
Image and Vision Computing , 2024 , p 104901.
A deep learning-based illumination transform for devignetting photographs of dermatological lesions
No authors listed.
Image and Vision Computing , 2024 , p 104909.
A novel approach for breast cancer detection using optimized ensemble learning framework and XAI
No authors listed.
Image and Vision Computing , 2024 , p 104910.
Speech driven video editing via an audio-conditioned diffusion model
No authors listed.
Image and Vision Computing , 2024 , p 104911.
Three dimensional tracking of rigid objects in motion using 2D optical flows
No authors listed.
Image and Vision Computing , 2024 , p 104913.
Variation-aware semantic image synthesis
No authors listed.
Image and Vision Computing , 2024 , p 104914.
LSTPNet: Long short-term perception network for dynamic facial expression recognition in the wild
No authors listed.
Image and Vision Computing , 2024 , p 104915.
Editorial Retractions, Expressions of Concern and External Notices
An investigational FW-MPM-LSTM approach for face recognition using defective data
Image and Vision Computing2023 - VOLUME 132 p 104644.
1 16
LSTM with bio inspired algorithm for action recognition in sports videos
J Chen , R Samuel , P Poovendran
Image and Vision Computing2021 - VOLUME 112 p 104214.
14 14
A new method for the registration of three-dimensional point-sets: The Gaussian Fields framework
F Boughorbel , M Mercimek , A Koschan , M Abidi
Image and Vision Computing2010 - VOLUME 28, ISSUE 1 pp 124-137.
0 26
Camera handoff with adaptive resource management for multi-camera multi-object tracking
C Chen , Y Yao , D Page , ... , M Abidi
Image and Vision Computing2010 - VOLUME 28, ISSUE 6 pp 851-864.
1 10