Results 11 to 20 of about 498,935 (316)
The IPRS Image Processing and Pattern Recognition System. [PDF]
, 1997 IPRS is a freely available software system which consists of about 250 library functions in C, and a set of application programs. It is designed to run under UNIX and comes with full source code, system manual pages, and a comprehensive user's and ...
Caelli, Terry +3 more
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Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
IEEE Access, 2019 The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
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Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion
Sensors, 2022 Environment perception remains one of the key tasks in autonomous driving for which solutions have yet to reach maturity. Multi-modal approaches benefit from the complementary physical properties specific to each sensor technology used, boosting overall ...
Horatiu Florea +5 more
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Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition
Information, 2015 As a dominant method for face recognition, the subspace learning algorithm shows desirable performance. Manifold learning can deal with the nonlinearity hidden in the data, and can project high dimensional data onto low dimensional data while preserving
Songjiang Lou +3 more
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SiamCAM: A Real-Time Siamese Network for Object Tracking with Compensating Attention Mechanism
Applied Sciences, 2022 The Siamese-based object tracking algorithm regards tracking as a similarity matching problem. It determines the object location according to the response value of the object template to the search template.
Kai Huang +4 more
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Image Recognition CAPTCHAs [PDF]
, 2004 CAPTCHAs are tests that distinguish humans from software robots in an online environment [3,14,7]. We propose and implement three CAPTCHAs based on naming images, distinguishing images, and identifying an anomalous image out of a set. Novel contributions include proposals for two new CAPTCHAs, the first user study on image recognition CAPTCHAs, and a ...
Monica Chew, J. D. Tygar
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Person Re-Identification Based on DropEasy Method
IEEE Access, 2019 Currently, majority of person re-identification (reID) technologies are network-constrained by Dropout regularization, which relies on the random zeroing out of some features to make these features more independent.
Huiyang Wang +3 more
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2008 9th International Conference on Signal Processing, 2008 Kernel-based methods have been widely used in pattern recognition. But traditional kernel functions can only process 1D vectors, while image data are often 2D matrices. This paper presents a new kernel function based on RBF kernel function for image target recognition.
null Zhu XiaoKai, null Li Xiang
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Image recognition: Visual grouping, recognition, and learning [PDF]
Proceedings of the National Academy of Sciences, 1999 Vision extracts useful information from images. Reconstructing the three-dimensional structure of our environment and recognizing the objects that populate it are among the most important functions of our visual system. Computer vision researchers study the computational principles of vision and aim at designing algorithms that reproduce these ...
Buhmann, Joachim M. +2 more
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Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
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