Location:
Search - interest point
Search list
Description: 兴趣点POI（Point of Interests）的查询程序。可以根据条件按照最近方式搜索到POI点，如查询离某一个指定点最近的几个酒店等。程序运行于ArcGIS底层。包含有实验数据-interest points POI (Point of Interests) inquiry procedures. Under way with the recent conditions of the POI search, such as inquiries from a specified point in several recent hotel. ArcGIS runs on the bottom. Contains experimental data
Platform: |
Size: 677888 |
Author: fansfans |
Hits:
Description: 时间空间兴趣点的检测，可以检测出运动区域中变化较大的点-Time and space interest point detection, can detect changes in the regional movement larger point
Platform: |
Size: 1395712 |
Author: 李莉 |
Hits:
Description: 摘要:提出了一种基于兴趣点不变矩(IPIM)的图像拼接技术。利用Harris 角检测器获取图像中的兴趣点,计算
兴趣点邻域的平移、旋转及尺度不变矩,通过比较各兴趣点邻域不变矩的欧式距离提取出初始特征点对,根据
几何变换模型剔除伪特征对,最后利用正确映射模型实现图像的拼接。实验表明,该方法对平移以及任意角度
的旋转具有良好的鲁棒性,对于具有小尺度变换的图像仍然具有很好的拼接效果。-Abstract: This paper presents a point of interest based on moment invariants (IPIM) of the image stitching technology. Angle using Harris detector to obtain images in the interest of points to calculate the interest point neighborhood of the translation, rotation and scale invariant moments, by comparing the interest point neighborhood of the Continental moment invariants extracted from the initial feature points right, according to the geometric pseudo-transformation model features removed, and finally realize the use of mapping model correctly spliced images. Experiments show that the method of translation and rotation of any angle has good robustness for small-scale transformation of the image still has a good effect splicing.
Platform: |
Size: 323584 |
Author: xuyuhua |
Hits:
Description: Mikolajczyk在2004年提出了尺度和仿射不变量的兴趣点检测 GLOH 算法-Mikolajczyk in 2004 put forward a scale and affine invariant interest point detection algorithm GLOH
Platform: |
Size: 3945472 |
Author: dangle |
Hits:
Description: 非常好用的利用Haar小波提取目标区域的方法，可用于人脸检测，兴趣区(ROI)提取，显著点检测等-Very useful to use Haar wavelet method of extracting the target region can be used for face detection, interest area (ROI) extraction, salient points detection
Platform: |
Size: 86016 |
Author: haoyubao |
Hits:
Description: SURF算法是继SIFT算法后的又一图像不变特征检测算法，除了具有SIFT算法稳定高效的特点外，还极大的降低了SIFT算法复杂度，大大提高了特征检测和匹配的实时性。这里上传的SURF算法的实现源代码-An interest point detection scheme is presented that is comparable in quality to existing
methods, but can be performed much faster. The detection is based on a straightforward color
analysis at a coarse granularity.Testing confirms that this detection scheme is much faster than the state-of-the-art. It is
also repeatable, even under different viewing conditions. The detector is robust with respect to
changes in viewpoint, lighting, zoom, and to a certain extent, rotation.
Platform: |
Size: 4551680 |
Author: 翟永 |
Hits:
Description: 大连市矢量地图数据,mapinfo格式,比例尺为1:10000,含水体,绿地,建筑,兴趣点,道路等几十个图层.-Vector map data in Dalian, mapinfo format for the 1:10000 scale, water-bearing body, green, construction, interest point, dozens of layers such as roads.
Platform: |
Size: 3060736 |
Author: lcs |
Hits:
Description: vc实现的sift特征点提取。sift是图像领域最新提出的有效特征点算法之一-a detection method for SIFT interest point which is recently proposed in computer vision area
Platform: |
Size: 294912 |
Author: herman |
Hits:
Description: 自己编写的采用Moravec Interest Operator提取角点的算法-I have written using the Moravec Interest Operator Corner Extraction algorithm
Platform: |
Size: 49152 |
Author: 游磊 |
Hits:
Description: This a file/directory compare write in C#.
Interest point: the match algorithm.
The file/folder detection is automatic and it llows search with date-time or data len-This is a file/directory compare write in C#.
Interest point: the match algorithm.
The file/folder detection is automatic and it llows search with date-time or data len
Platform: |
Size: 31744 |
Author: fenixio |
Hits:
Description: In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, distinctiveness, and robustness, yet
can be computed and compared much faster.
This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a
distribution-based descriptor) and by simplifying these methods to the
essential. This leads to a combination of novel detection, description, and
matching steps. The paper presents experimental results on a standard
evaluation set, as well as on imagery obtained in the context of a real-life
object recognition application. Both show SURF’s strong performance.-In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, distinctiveness, and robustness, yet
can be computed and compared much faster.
This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a
distribution-based descriptor) and by simplifying these methods to the
essential. This leads to a combination of novel detection, description, and
matching steps. The paper presents experimental results on a standard
evaluation set, as well as on imagery obtained in the context of a real-life
object recognition application. Both show SURF’s strong performance.
Platform: |
Size: 686080 |
Author: yangwei |
Hits:
Description: GPU Accelerating Speeded-Up Robust Features. Many computer vision tasks require interest point detection and description, such as real-time visual navigation. We present a GPU implementation of the recently proposed Speeded-Up Robust Feature extractor, currently the state of the art for
this task. Robust feature descriptors can give vast improvements
in the quality and speed of subsequent steps, but require intensive
computation up front that is well-suited to inexpensive graphics
hardware. We describe the algorithm’s translation to the GPU in
detail, with several novel optimizations, including a new method
of computing multi-dimensional parallel prefix sums. It operates
at over 30 Hz at HD resolutions with thousands of features and
in excess of 70 Hz at SD resolutions.
Platform: |
Size: 1541120 |
Author: yangwei |
Hits:
Description: 新型高效图像特征点检测算法 在运动检测 匹配 等图像处理领域有广泛应用-A NEW DIGITAL INTEREST POINT OPERATOR
FOR CLOSE-RANGE PHOTOGRAMMETRY
Platform: |
Size: 233472 |
Author: liangjiabin |
Hits:
Description: Harris, Laplace, det(H), Ridge兴趣点检测，包括了laplace迭代过程-Harris, Laplace, det (H), Ridge interest point detection, including laplace iterative process
Platform: |
Size: 464896 |
Author: 唐玉娟 |
Hits:
Description: Hessian interest point detector
Platform: |
Size: 215040 |
Author: Mostafa Kazemi |
Hits:
Description: Scale and affine invariant interest point detectors
Platform: |
Size: 1160192 |
Author: yl |
Hits:
Description: histogram-based interest point detectors
Platform: |
Size: 2795520 |
Author: mod |
Hits:
Description: Interest point detection is a recent terminology in computer vision that refers to the detection of interest points for subsequent processing.
Platform: |
Size: 350208 |
Author: xuekunnan |
Hits:
Description: 整合了模式识别领域中几种经典的关于区域识别的文章，对于研究模式识别的同学，会有很大帮助-Integrated field of pattern recognition several classic articles on regional recognition, pattern recognition for research students, there will be a great help
Platform: |
Size: 5568512 |
Author: 房英明 |
Hits:
Description: 基于时空兴趣点的行为识别期刊论文。本为以时空特征点出发的三维兴趣点检测。-Based on time and space of interest points behavior identification journal articles.This is to start at space-time characteristics of three dimensional interest point detection.
Platform: |
Size: 2852864 |
Author: zhoutongchi |
Hits: