Results 1 to 10 of about 1,432,165 (269)
IET Computer Vision, 2022 Despite recent advances in 3‐D pose estimation of human hands, thanks to the advent of convolutional neural networks (CNNs) and depth cameras, this task is still far from being solved in uncontrolled setups.
Meysam Madadi +3 more
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The Programming Historian, 2022 This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model.
Daniel van Strien +4 more
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QUANTITATIVE COMPARISON BETWEEN NEURAL NETWORK- AND SGM-BASED STEREO MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Over the last decades, various methods for three-dimensional detection of the environment have been developed and successfully used. This work considers classical stereo methods, which can determine depth information by the means of correspondence ...
A. Frenzel, N. Deckers, R. Reulke
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ROBUST AERIAL OBJECT TRACKING IN HIGH DYNAMIC FLIGHT MANEUVERS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Integrating drones into the civil airspace is one of the biggest challenges for civil aviation, responsible authorities and involved com- panies around the world in the upcoming years. For a full integration into non-segregated airspace such a system has
A. Nussberger, H. Grabner, L. van Gool
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Sim-to-Real Transfer for Object Detection in Aerial Inspections of Transmission Towers
IEEE Access, 2023 Training deep learning models for object detection usually requires a large amount of data, a condition that is not common for most real-world applications, especially in the context of aerial imagery.
Augusto J. Peterlevitz +15 more
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Automatic evaluation of practices in Moodle for Self Learning in Engineering
Journal of Technology and Science Education, 2015 The first years in engineering degree courses are usually made of large groups with a low teacher-student ratio. Overcrowding in classrooms hinders continuous assessment much needed to promote independent learning.
Carles Sanchez +5 more
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Are object detection assessment criteria ready for maritime computer vision? [PDF]
, 2019 Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in maritime domain received attention only recently.
Dong, Huixu +3 more
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A Convolutional Neural Network for Nonrigid Structure from Motion
International Journal of Digital Multimedia Broadcasting, 2022 In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network.
Yaming Wang +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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BronchoX: bronchoscopy exploration software for biopsy intervention planning
Healthcare Technology Letters, 2018 Virtual bronchoscopy (VB) is a non-invasive exploration tool for intervention planning and navigation of possible pulmonary lesions (PLs). A VB software involves the location of a PL and the calculation of a route, starting from the trachea, to reach it.
Esmitt Ramírez +6 more
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