Location:
Search - surf descriptor
Search list
Description: SURF feature descriptor
Platform: |
Size: 432128 |
Author: Santa |
Hits:
Description: surf descriptor for object recognition
Platform: |
Size: 119808 |
Author: xin |
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: SURF descriptor library based on opencv.
Platform: |
Size: 209920 |
Author: lomazzacamo |
Hits:
Description: This program shows the use of the Calonder point descriptor classifier. SURF is used to detect interest points, Calonder is used to describe/match these points.
Platform: |
Size: 2048 |
Author: marcusbarnet |
Hits:
Description: surf特征点提取以及相应的特征点匹配，matlab程序-speed up robust features (SURF), feature matching
Platform: |
Size: 722944 |
Author: david |
Hits:
Description: SURF_DETECTOR
SURF (Speeded Up Robust Feature) is a robust image detector and descriptor, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired by the SIFT descriptor.
Platform: |
Size: 1024 |
Author: Kim |
Hits:
Description: 简单的opensurf算法，c语言实现，用到了opencv-the SURF detector-descriptor scheme used in the OpenSURF library
is discussed in detail.
Platform: |
Size: 1448960 |
Author: 赵书睿 |
Hits:
Description: sift,surf,daisy,steerfilter,shape context,smd,gih,金字塔方向直方图phog-sift,surf,daisy,steerfilter,shape context,smd,gih
Platform: |
Size: 14817280 |
Author: 刘 |
Hits:
Description: 经典的描述子集合，主要有：sift，surf，steerfilter，SMD，-Classical descriptors: sift，surf，steerfilter,SMD，......
Platform: |
Size: 14817280 |
Author: 刘 |
Hits:
Description: This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features).
SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness,
yet can be computed and compared much faster.-This article presents a novel scale-and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
Platform: |
Size: 2754560 |
Author: xukaijun |
Hits:
Description: This is surf(Speeded Up Features Robust) matlab code for detection keypoint and construct descriptor and matching
Platform: |
Size: 1967104 |
Author: m |
Hits:
Description: C++ implementation of performant scale- and rotation-invariant interest point detector and descriptor SURF: Speeded Up Robust Features
Platform: |
Size: 104448 |
Author: Athos |
Hits:
Description: SURF Descriptor Algorithm
Platform: |
Size: 2223104 |
Author: amyamou |
Hits:
Description: 对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果-Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results
Platform: |
Size: 108544 |
Author: 王奇 |
Hits:
Description: 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 uation set, as well as on imagery obtained in the context of a real-life object recognition application. Both show SURF’s strong performance.
-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 uation 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: 680960 |
Author: Amal |
Hits:
Description: vs2010+opencv，建立SURF特征点的描述子，对输入图像的特征点建立描述子-vs2010+opencv, build descriptor SURF feature points, the feature point of the input image build descriptor
Platform: |
Size: 2909184 |
Author: YYT |
Hits:
Description: 检测Surf关键点、提取训练图像描述符,创建基于FLANN的描述符匹配对象-To check surf key points extracted image descriptor training, create the descriptor-based matching objects FLANN
Platform: |
Size: 5111808 |
Author: 张苇宁 |
Hits:
Description: SURF意指 加速的具有鲁棒性的特征，由Bay在2006年首次提出，这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来，一般来说，标准的SURF算子比SIFT算子快好几倍，并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念，这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired by the SIFT descriptor. The standard version of SURF is several times faster than SIFT and claimed by its authors to be more robust against different image transformations than SIFT. SURF is based on sums of 2D Haar wavelet responses and makes an efficient use of integral images.
Platform: |
Size: 2418688 |
Author: 草 |
Hits:
Description: 实现SURF特征点描述子算法，并使用Oxford Dataset图像自动进行精度评价(SURF feature descriptor and matching precision evaluation)
Platform: |
Size: 1024 |
Author: 珊瑚海枫 |
Hits: