搜索结果: 1-13 共查到“计算机科学技术 Texture”相关记录13条 . 查询时间(0.066 秒)
The reconstruction of 3D city models has matured to the point where large data sets are now available. As most of the data collection
methods used are based on airborne sensors like e.g. aerial laser...
What if the touchscreen of your smartphone or tablet could touch you back? What if touch was as integrated into our ubiquitous technology as sight and sound?
Northwestern University and Carnegie Mell...
A Spatiotemporal Context Phrase Description for General Dynamic Texture
Dynamic texture description dynamic texture classification spatiotemporal context human action recognition.
2013/7/24
In this paper, we propose a novel dynamic texture description method base on spatiotemporal context phrase for general dynamic texture. Different with the existing methods, we consider the spatiotempo...
COMPUTING NEGENTROPY BASED SIGNATURES FOR TEXTURE RECOGNITION
texture recognition Independent Component Analysis negentropy,Minkowski distance
2010/1/11
The proposed method aims to provide a new tool for texture recognition. For this purpose, a set of texture samples are decomposed by using the FastICA algorithm and characterized by a negentropy based...
Compression-Induced Rendering Distortion Analysis for Texture/Depth Rate Allocation in 3D Video Compression
Compression-Induced Rendering Distortion Analysis Texture/Depth Rate Allocation 3D Video Compression
2013/7/16
In 3D video applications, the virtual view is generally rendered by the compressed texture and depth. The texture and depth compression with different bit-rate overheads can lead to different virtual ...
Texture and Motion Pattern Fusion for Background Subtraction
Background subtraction texture pattern motion pattern
2013/7/17
In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP), whic...
Unsupervised texture classification: Automatically discover and classify texture patterns
Unsupervised texture classifi cation NMF PLSI Invariant descriptor
2013/7/17
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, we extract a set of in...
Multi-parameter analysis and modelling of engineering surface texture
Multi parameter surface analysis Functional surface characterization Surface typology
2010/2/10
Purpose: Owing to the complexity of machined surface profiles and the contemporary demands for functional characterization, multi- parameter analysis of roughness is recommended by international surfa...
Dynamic Texture Synthesis Using Motion Distribution Statistics
Dynamic Texture Synthesis Motion Distribution Statistics
2014/3/11
In this paper we propose a motion based approach for synthesizing dynamic textures. Dynamic textures are natural phenomenon characterized by their distinctive motion patterns. Synthesis of these textu...
An adaptive de-interlacing algorithm based on texture and motion vector analysis
de-interlacing algorithm texture and motion vector analysis
2010/12/16
In this paper, we propose a novel hybrid de-interlacing algorithm, which effectively combines two motioncompensated (MC) de-interlacing techniques: MC Median Filtering (MCMF) and Adaptive Recursive (A...
Unsupervised Texture Classification: Automatically Discover and Classify Texture Patterns
Unsupervised Texture Classification Automatically Discover Classify Texture Patterns
2010/12/16
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection,
we extract a set of i...
AN ICA BASED METHOD FOR TEXTURE RECOGNITION
Independent Component Analysis Negentropy Pattern Recognition
2010/1/12
The method proposed in this paper uses the Independent Component Analysis (ICA) for an application of unsupervised recognition of textures. The analysed texture is modelled by a weighted sum of almost...
A New Algorithm for Remotely Sensed Image Texture Classification and Segmentation,
Algorithm Image Texture Classification Segmentation
2010/12/14
In this paper, we propose a new algorithm for remotely sensed image texture classification and segmentation. We observe that the traditional method least square error (LSE) is unstable in practical ap...