Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features. This paper investigates several methods for compression and storage of SURF feature points, considering both storage consumption and disk-read efficiency. We compare each scheme with a baseline plaintext encoding scheme as used by many existing ...

We investigate transform coding to efficiently store and transmit SIFT and SURF image descriptors. We show that image and feature matching algorithms are robust to significantly compressed features. We achieve nearperfect image matching and retrieval for both SIFT and SURF using ∼2 bits/dimension. When applied to SIFT and SURF, this provides a 16× compression relative to conventional floating p...

Low level features like color etc. of an image are really very important for any image retrieval system. This paper implements image classification technique using SURF descriptor and SVM classifier. SURF method which is advanced version of SIFT is used to match feature points of training and test images. SVM classifier based on the outcome of feature points then classifies images. Through the ...

In this paper we will evaluate the use of SURF features in handwritten signature verification. For each known writer we will take a sample of three genuine signatures and extract their SURF descriptors. In this paper, off-line signature recognition & verification using neural network is proposed, where the signature is captured and presented to the user in an image format. Signatures are verifi...

—White-winged Scoters (Melanitta fusca) and Surf Scoters (M. perspicillata) are often assumed to rely on similar marine resources. To evaluate the accuracy of this assumption, we contrast seasonal distributions, foraging effort, and indicators of energy status (body mass and composition, plasma metabolites) in three major foraging sites in Puget Sound, Washington, for these rapidly declining se...

Larvae of intertidal species develop at sea and must return to adult habitats to replenish populations. Similarly, nutrients, detritus and plankton provide important subsidies spurring growth and reproduction of macroalgae and filter-feeding invertebrates that form the foundation of intertidal communities. Together, these factors determine the density and intensity of interactions among communi...

This paper proposed a new method for fault diagnosis of rolling bearings based on SURF (Speeded-Up Robust Features) algorithm, where two-dimension signal is used. Different from other classical 1-d signal processed methods, the proposed method transforms the 1-dimensional vibration signals into images, then image processed methods are utilized to analyze the image signal so as to reach the goal...

Copy-Move is one of the most common technique for digital image tampering or forgery. Copy-Move in an image might be done to duplicate something or to hide an undesirable region. In some cases where these images are used for important purposes such as evidence in court of law, it is important to verify their authenticity. In this paper the authors propose a novel method to detect single region ...

Due to the nonlinear and nonuniform local deformation of the nonrigid tissues, it is difficult whereas important to extract and correctly match a considerable number of feature points from the MR images for deformation measurement. Current approaches are dissatisfying towards this issue. In this paper, firstly the authors use SURF algorithm to extract the feature points in the initial MR image,...

Image matching technology is the research foundation of many computer vision problems, and the matching algorithm based on partial features of images is a research focus in this field. In order to overcome the unstable performance of classic SURF algorithm on rotation invariance, an image matching algorithm combined with SURF feature-point and DAISY descriptor is proposed. Based on the feature ...