In this paper, we propose a camera model identification method based on deep convolutional neural networks (CNNs). Unlike traditional methods, CNNs can automatically and simultaneously extract features and learn to classify during the learning process. A layer of preprocessing is added to the CNN ...
With the development of multimedia, camera model identification from given images has attract large attentions in cyber-forensic area recently. The task has achieved a great improvement due to some deep learning methods, where the features are extracted with the stacked architectures. However, it shou...
Using sensor pattern noise for camera model identification Sensor photo-response non-uniformity (PRMU) was introduced by Lukas et al. [1] to solve the problem of digital camera sensor identification. The PRNU is th... T Filler,J Fridrich,M Goljan - IEEE International Conference on Image Proce...
The model has accuracy of 99% and recall of 98.7% in the module lenses classification (with and without blemish), localizing exact defect regions of blemish as well. Comparative experiments of several methods show that the proposed model has strong robustness and generalization ability for the ...
2. Related Work Deep learning person re-identification. Many deep learning methods [38, 34, 33, 3, 24] have been proposed in person re-ID. In [38], input image pairs are partitioned into three overlapping horizontal parts respectively, and through a siamese CNN model to learn the ...
Registration, that is, identification and estimation of the camera and mirror intrinsic and extrinsic parameters. • Unwarping, which is done by transformation of the original circular image from polar (ρ,θ) coordinates to rectangular Cartesian (x,y) coordinates that can be more easily interprete...
(master) $ cmake .. -- The C compiler identification is GNU 11.4.0 -- The CXX compiler identification is GNU 11.4.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -...
The proposed unified framework can infer camera network topology while it performs person re-identification. In this study, we assume that the transition distribution between the two links follows a single-mode Gaussian model since the model works well in most cases. In general, most previous study...
ML Kit Equips UnDosTres with Automatic Bill Number Identification Capability, Making Payments Easier than Ever ML Kit Enables Photo Deformer to Implement Automatic Face Detection, for Hilarious Caricatures on a Whim Coyote Uses ML Kit to Build a GPS & Driver Assistance System ML Kit Facilitates...
Person re-identification in large-scale multi-camera networks is a challenging task because of the spatio-temporal uncertainty and high complexity due to large numbers of cameras and people. To handle these difficulties, additional information such as camera network topology should be provided, which ...