Results 21 to 30 of about 1,996,919 (352)
Computational theories of vision [PDF]
Current Biology, 2002 Supported by the Royal Society. I am grateful for comments from Bruce Cumming, Tam Curnow, Miles Hansard and Anya Hurlbert.
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Improved softmax loss for deep learning-based face and expression recognition
Cognitive Computation and Systems, 2019 In recent years, deep convolutional neural networks (CNN) have been widely used in computer vision and significantly improved the performance of image recognition tasks.
Jiancan Zhou +4 more
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Healthcare Technology Letters, 2019 Optical colonoscopy is known as a gold standard screening method in detecting and removing cancerous polyps. During this procedure, some polyps may be undetected due to their positions, not being covered by the camera or missed by the surgeon.
Mohammad Ali Armin +3 more
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Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]
, 2015 Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant +4 more
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Highly Discriminative Physiological Parameters for Thermal Pattern Classification
Sensors, 2021 Infrared Thermography (IRT) is a non-contact, non-intrusive, and non-ionizing radiation tool used for detecting breast lesions. This paper analyzes the surface temperature distribution (STD) on an optimal Region of Interest (RoI) for extraction of ...
Laura Benita Alvarado-Cruz +4 more
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Deep Learning vs. Traditional Computer Vision [PDF]
in Advances in Computer Vision Proceedings of the 2019 Computer
Vision Conference (CVC). Springer Nature Switzerland AG, pp. 128-144, 2019 Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the rise of DL have become obsolete. This paper will analyse the benefits and drawbacks of each approach.
arxiv +1 more source
A survey of the Vision Transformers and their CNN-Transformer based Variants [PDF]
Artificial Intelligence Review (2023): 1-54, 2023 Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their ability to focus on global relationships in images, offer large learning capacity.
arxiv +1 more source
Comparison of 3D interest point detectors and descriptors for point cloud fusion [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 The extraction and description of keypoints as salient image parts has a long tradition within processing and analysis of 2D images. Nowadays, 3D data gains more and more importance.
R. Hänsch, T. Weber, O. Hellwich
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Compliant Manipulation With Quasi-Rigid Docking for Underwater Structure Inspection
IEEE Access, 2023 Offshore wind farms are a crucial source of renewable energy, but maintenance and repair can be challenging due to their remote locations and harsh environmental conditions.
Roger Pi +4 more
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e-CliniC, 2021 Abstract: Computer vision syndrome (CVS) describes a group of eye and vision related problems that result from prolonged computer use or other gadgets. Its clinical manifestations maybe are not very disturbing for most people. Therefore, it tends to cause delayed treatment.
Imelda H. M. Najoan +2 more
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