Texture recognition
Dynamic Texture Recognition Under Adverse Lighting and Weather Conditions for Outdoor Environments
... dynamic texture recognition focuses on outdoor scenarios where a crisis event might occur ...dynamic texture analysis were ...dynamic texture analysis under bad weather ...
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ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition
... enable texture recognition with either modality ...cloth texture recognition to train a model using one sensing modality while applying the model on data from the other ...
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Quaternion Affine Moment Invariants for Color Texture Recognition
... the texture recognition experiments, as one can see from Figure 3, the classification of images was correct with a null error rate; the QAMIs remain almost unchanged for all affine transformations of each ...
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Texture recognition using force sensitive resistors
... SAYED, Muhammad, DIAZ GARCIA,, Jose Carlos and ALBOUL, Lyuba (2016). Texture recognition using force sensitive resistors. In: ALBOUL, Lyuba, DAMIAN, Dana and AITKEN, Jonathan M., (eds.) Towards autonomous ...
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Directional Dense-Trajectory-based Patterns for Dynamic Texture Recognition
... Filter-based methods: In these approaches, filter bank operations are uti- lized to diminish noise in DT sequences. Arashloo et al. [23] addressed Bina- rized Statistical Image Features on Three Orthogonal Planes ...
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On the influence of interpolation method on rotation invariance in texture recognition
... Rotation invariance for a texture descriptor can be achieved locally (at each pixel position) or globally (for the region/patch investigated). In [6], clusters of filter bank responses, denoted textons, are ...
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Completed Local Structure Patterns on Three Orthogonal Planes for Dynamic Texture Recognition
... of 352 × 288 and 250 color frames in 10 seconds. Following the protocol in [3], [13], [16], we use a version of the ”pr1” dataset with 35 sequence categories, named as DynTex35. Each sequence is considered as a class and ...
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Deep Filter Banks for Texture Recognition, Description, and Segmentation
... in texture modeling in the light of modern local feature descriptors and pooling ...While texture rep- resentations were extensively used in most areas of image understanding, since the breakthrough work of ...
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Topological Attribute Patterns for Texture Recognition
... robust texture framework for these mappings based on a recent LBP- based variant (SBP [27, 18]) to show the interest of our mapping compared to others on noisy texture ...given texture image into ...
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Directional Beams of Dense Trajectories for Dynamic Texture Recognition
... mantic categories [29,6] consisting of “boiling water” (8), “fire” (8), “flowers” (12), “fountains” (20), “plants” (108), “sea” (12), “smoke” (4), “water” (12), and “waterfall” (16), where the numbers in parentheses take ...
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Three-dimensional connectivity index for texture recognition
... Over the years, several approaches have been proposed to find methods capable of representing complex digital images using a reduced number of numerical features (or descriptors) that are rel- evant and non-redundant. ...
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Momental directional patterns for dynamic texture recognition
... Dynamic textures (DTs) are textures repeated in a temporal domain, such as fountain, smoke, foliage, sea-wave, a blowing flag, fire, etc [1]. Efforts of analysis to make them more “understandable” are crucial for ...
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Document Image Retrieval Based on Texture Features: A Recognition-Free Approach
... of texture features for document image ...binary texture method is ...that texture properties in the text regions and non-text regions of the document images are ...
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Shape and Texture Combined Face Recognition for Detection of Forged ID Documents
... face recognition system that can be used to effectively match a face image scanned from an identity (ID) document against the face image stored in the bio- metric chip of such a ...face recognition ...
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Palm Recognition Using K-Mean Clustering With Geometrical and Texture Features
... Biometrics Recognition and Verification System”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering ...user recognition system based on hand ...
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A REVIEW ON VARIOUS APPROACHES OF FACE RECOGNITION BASED ON SHAPE AND TEXTURE FEATURES
... Niloofar Amani1, AsadollahShahbahrami and Manoochehr Nahvi1 [6] proposed a new approach to improve the face recognition accuracy. This approach is based on the contrast enhancement using high- frequency emphasize ...
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Shape and Texture based Palm Print Recognition System for Biometric identification
... Print Recognition in PCA Based Palm Print Recognition System”, 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), ...
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Palmprint Recognition System Using Independent Component Analysis and Gabor Texture Descriptors
... Abstract- PalmPrint is one of the forms of Biometric verification system. PalmPrints are considered as invariant over timer after a person becomes adult. Therefore it provides good biometric authentication system. ...
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Texture-Based Object Recognition
... Jak bylo výše popsáno 4.4 , jackknife je statistická metoda testování a v této aplikaci plní tři účely – test klasifikátoru v rámci segmentace satelitních snímků, test informační hodnoty [r] ...
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Emotion Recognition Based on Texture Analysis of Facial Expressions Using Wavelets Transform
... emotion recognition system has been ...extract texture based features from the extracted face region, Haar wavelets transform was used for image domain transformation and for producing wavelets sub-bands ...
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