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EVALUATION OF SIFT AND SURF FOR VISION BASED LOCALIZATION
Vision Based Localization Local Bundle Adjustment Feature Extraction performance evaluation
2016/7/28
Vision based localization is widely investigated for the autonomous navigation and robotics. One of the basic steps of vision based localization is the extraction of interest points in images that are...
DEVELOPMENT OF NEUROMORPHIC SIFT OPERATOR WITH APPLICATION TO HIGH SPEED IMAGE MATCHING
Neuromorphics SIFT Image Matching FPGA Neural Network
2016/1/18
There was always a speed/accuracy challenge in photogrammetric mapping process, including feature detection and matching. Most of the researches have improved algorithm's speed with simplifications or...
An Investigation into The Registration of LIDAR Intensity Data and Aerial Images Using the SIFT Approach
SIFT Registration Matching LiDAR MATLAB program Transformation Gaussian Function
2015/11/20
Various methods exist for automatic registration of different kinds of image datasets. The datasets could be aerial or satellite images, maps, LiDAR data, etc. In this paper we propose a method for th...
Coregistration Based on SIFT Algorithm for Synthetic Aperture Radar Interferometry
Coregistration INSAR SIFT
2015/11/20
Single-look complex image coregistration is the key step of Synthetic Aperture Radar(SAR) Interferometry. The precision of the coregistration results have a direct effect on the quality of the SAR int...
Epipolar Rectification for CARTOSAT-1 Stereo Images Using SIFT and RANSAC
Epi-polar rectification image matching SIFT, Ransac Cartosat-1 stereo
2014/12/16
Cartosat-1 provides stereo images of spatial resolution 2.5 m with high fidelity of geometry. Stereo camera on the spacecraft has look angles of +26 degree and -5 degree respectively that yields effec...
SIFT FOR DENSE POINT CLOUD MATCHING AND AERO TRIANGULATION
SIFT Dense Matching Quality Filtering (QF) Aerotriangulation Point Cloud
2014/4/28
This paper presents a new method for dense point cloud matching and aero triangulation based on the well-known scale invariant feature transform (SIFT) technique. The modern digital cameras can take h...
本文提出了一种基于几何约束和改进SIFT的SAR影像和光学影像自动配准方法。首先根据影像间的几何关系进行影像粗纠正，消除影像间旋转和分辨率差异，然后基于改进的SIFT特征提取方法提取SIFT特征并利用其结构性信息引入结构相似性指数（SSIM）作为相似性测度获得初始匹配，经过尺度特征空间和视差空间聚类优化得到稳定同名匹配，最后由随机抽样一致性算法（RANSAC）根据透视变换模型精化匹配结果获取变换模...
STUDY OF SIFT DESCRIPTORS FOR IMAGE MATCHING BASED LOCALIZATION IN URBAN STREET VIEW CONTEXT
Image Databases Matching Retrieval Urban High resolution
2016/3/1
In this paper we evaluate the quality of vote-based retrieval using SIFT descriptors in a database of street view photography, a challeging context where the fraction of mismatched descriptors tends t...