搜索结果: 1-14 共查到“知识库 信息处理技术 2-D features”相关记录14条 . 查询时间(0.136 秒)
A Novel Vector Field Data Mining Approach: Extraction of Front Based on Physical Features of Target
Vector Field Data Mining Physical Feature Front Extraction Fuzzy Clustering
2015/12/2
The explosive growing of earth observing data needs to have relative efficient data processing methods. This paper aims at the processing and analysis of large volume of vector field data acquiring fr...
Extraction and tracking of orientation coded features being robust against illumination changes
feature extraction tracking orientation code richness
2015/8/25
We present a feature extraction and tracking method which is based on pure rich texture analysis and has robustness under irregular conditions, such as illumination change, deformation of objects and ...
FEATURES AND GROUND AUTOMATIC EXTRACTION FROM AIRBORNE LIDAR DATA
LiDAR data segmentation building detection DTM skewness kurtosis
2014/6/5
The aim of the research has been the developing and implementing an algorithm for automated extraction of features from LIDAR scenes with varying terrain and coverage types. This applies the moment of...
Overview of Front-end Features for Robust Speaker Recognition
Overview Front-end Features Robust Speaker Recognition
2013/6/28
This paper provides an overview of automatic speaker recognition technologies, with an emphasis on front-end features for robust speaker recognition. We categorize the front-end features into ...
This paper presents a fast method for detecting multi-view cars in real-world scenes. Cars are artificial objects with various appearance changes, but they have relatively consistent characteristics i...
REFERENCING OF IMAGES TO LASER SCANNER DATA USING LINEAR FEATURES EXTRACTED FROM DIGITAL IMAGES AND RANGE IMAGES
Close range photogrammetry terrestrial laser scanning image orientation line extraction range image
2016/2/29
This paper deals with the referencing of single images taken independently from the laser scanner (camera not mounted on the
scanner) to a laser scanner point cloud of the same scene. The single ima...
Affective MTV Anslysis Based On Arousal and Valence Features
Affective MTV Anslysis Valence Features
2010/12/17
Nowadays, MTV has become an important favorite pastime to modern people because of its conciseness, convenience to play and the characteristic that can bring both audio and
visual experiences to audi...
Affective MTV Anslysis Based On Arousal and Valence Features,
Affective MTV Anslysis Valence Features
2010/12/17
Nowadays, MTV has become an important favorite pastime to modern people because of its conciseness, convenience to play and the characteristic that can bring both audio and
visual experiences to audi...
Image Objects and Multi-Scale Features for Annotation Detection
Image Objects Multi-Scale Annotation Detection
2010/12/17
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over which to perform featur...
Subjective Evaluation Criterion for Selecting Affective Features and Modeling Highlights
Subjective Evaluation Criterion Affective Features
2010/12/16
In this paper, we propose a subjective evaluation criterion which is a guide for selecting affective features and modeling highlights. Firstly, the database of highlights ground truth is established, ...
Online Selection of Discriminative Features Using Bayes Error Rate for Visual Tracking
Feature Selection Bayes Error Rate Visual Tracking
2010/12/16
Online feature selection using Bayes error rate is proposed to address visual tracking problem, where the appearances of the tracked object and scene background change during tracking. Given likelihoo...
Object detection using spatial histogram features
Object detection spatial histogram features
2010/12/16
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, they can preserve textu...
Learning Informative Features for Spatial Histogram-Based Object Detection,
Informative Features Spatial Histogram-Based Object Detection
2010/12/15
Abstract—Feature extraction for object representation plays an important role in automatic object detection system. As the spatial histograms consist of marginal distribution of image
over local pat...
Review the Strength of Gabor Features for Recognition from the Angle of its Robustness to Mis-alignment,
Gabor Features Recognition Robustness to Mis-alignment
2010/12/14
Gabor feature has been widely recognized as better representation for face recognition in terms of rank-1
recognition rate. In this paper, we review the strength of Gabor feature for face recognition...