Papers Texture Classification
“Texture Classification” 태그가 달린 논문 206편 · 필터 해제
Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction
Research into the visual cortex and general neural information processing has led to various attempts to integrate pulse computation schemes in image analysis systems. Of interest is especially the robustness of represen…
Texture ClassificationPerformance evaluation of wavelet scattering network in image texture classification in various color spaces
Texture plays an important role in many image analysis applications. In this paper, we give a performance evaluation of color texture classification by performing wavelet scattering network in various color spaces. Exper…
ClassificationGeneral ClassificationTexture ClassificationAdaptive texture energy measure method
Recent developments in image quality, data storage, and computational capacity have heightened the need for texture analysis in image process. To date various methods have been developed and introduced for assessing text…
Texture ClassificationLacunarity Analysis on Image Patterns for Texture Classification
Based on the concept of lacunarity in fractal geometry, we developed a statistical approach to texture description, which yields highly discriminative feature with strong robustness to a wide range of transformations, in…
ClassificationGeneral ClassificationTexture ClassificationPersistence-based Structural Recognition
This paper presents a framework for object recognition using topological persistence. In particular, we show that the so-called persistence diagrams built from functions defined on the objects can serve as compact and in…
3D Shape Classification3D Shape RetrievalGesture RecognitionHand Gesture Recognition+4Improving weather radar by fusion and classification
In air traffic management (ATM) all necessary operations (tactical planing, sector configuration, required staffing, runway configuration, routing of approaching aircrafts) rely on accurate measurements and predictions o…
ClassificationGeneral ClassificationManagementTexture ClassificationTexture Based Image Segmentation of Chili Pepper X-Ray Images Using Gabor Filter
Texture segmentation is the process of partitioning an image into regions with different textures containing a similar group of pixels. Detecting the discontinuity of the filter's output and their statistical properties …
Image SegmentationSegmentationSemantic SegmentationTexture ClassificationPCANet: A Simple Deep Learning Baseline for Image Classification?
In this work, we propose a very simple deep learning network for image classification which comprises only the very basic data processing components: cascaded principal component analysis (PCA), binary hashing, and block…
ClassificationDeep LearningFace RecognitionFace Verification+5Block Motion Based Dynamic Texture Analysis: A Review
Dynamic texture refers to image sequences of non-rigid objects that exhibit some regularity in their movement. Videos of smoke, fire etc. fall under the category of dynamic texture. Researchers have investigated differen…
Texture ClassificationRigid-Motion Scattering for Texture Classification
A rigid-motion scattering computes adaptive invariants along translations and rotations, with a deep convolutional network. Convolutions are calculated on the rigid-motion group, with wavelets defined on the translation …
ClassificationGeneral ClassificationTexture ClassificationTranslationRandom Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification
Recent advances suggest that encoding images through Symmetric Positive Definite (SPD) matrices and then interpreting such matrices as points on Riemannian manifolds can lead to increased classification performance. Taki…
Face RecognitionGeneral Classificationimage-classificationImage Classification+2Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds
Sparsity-based representations have recently led to notable results in various visual recognition tasks. In a separate line of research, Riemannian manifolds have been shown useful for dealing with features and models th…
Action RecognitionClassificationDictionary LearningFace Recognition+4Improving Texture Categorization with Biologically Inspired Filtering
Within the domain of texture classification, a lot of effort has been spent on local descriptors, leading to many powerful algorithms. However, preprocessing techniques have received much less attention despite their imp…
ClassificationGeneral ClassificationTexture ClassificationTexture descriptor combining fractal dimension and artificial crawlers
Texture is an important visual attribute used to describe images. There are many methods available for texture analysis. However, they do not capture the details richness of the image surface. In this paper, we propose a…
AttributeTexture ClassificationDictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution
Recent advances in computer vision and machine learning suggest that a wide range of problems can be addressed more appropriately by considering non-Euclidean geometry. In this paper we explore sparse dictionary learning…
Action RecognitionDictionary LearningFace RecognitionGeneral Classification+3Online Optimization in Dynamic Environments
High-velocity streams of high-dimensional data pose significant "big data" analysis challenges across a range of applications and settings. Online learning and online convex programming play a significant role in the rap…
compressed sensingPoint ProcessesTexture ClassificationEnriching Texture Analysis with Semantic Data
We argue for the importance of explicit semantic modelling in human-centred texture analysis tasks such as retrieval, annotation, synthesis, and zero-shot learning. To this end, low-level attributes are selected and used…
feature selectionRetrievalTexture ClassificationZero-Shot LearningSensing and Recognizing Surface Textures Using a GelSight Sensor
Sensing surface textures by tou ch is a valuable was difficult to build capability for robots. Until recently it a a compliant sensor with high sennnsitivity and high resolution. The GelSight sensor is cooompliant and of…
Material RecognitionTexture ClassificationHeterogeneous patterns enhancing static and dynamic texture classification
Some mixtures, such as colloids like milk, blood, and gelatin, have homogeneous appearance when viewed with the naked eye, however, to observe them at the nanoscale is possible to understand the heterogeneity of its comp…
ClassificationGeneral ClassificationTexture ClassificationSparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
Recent advances suggest that a wide range of computer vision problems can be addressed more appropriately by considering non-Euclidean geometry. This paper tackles the problem of sparse coding and dictionary learning in …
Dictionary LearningFace RecognitionGeneral ClassificationPerson Re-Identification+1