[PDF] Top 20 Local coding based matching kernel method for image classification.

Local coding based matching kernel method for image classification.

... for local feature based ...metrics based on Bag of Visual Word (BoV) techniques are efficient and conceptually simple, at the expense of ...contrast, kernel based metrics are more ... See full document

12

SEGMENTATION AND CLASSIFICATION OF POINT CLOUDS FROM DENSE AERIAL IMAGE MATCHING

... growing method, point clouds are segmented into multiple ...clouds based on pre-defined ...the local surface normal at each point is compared with its neighboring ... See full document

19

Local Feature Based on Moment Invariants for Blurred Image Matching

... a local feature scheme is suited to many applications such as wide baseline matching [9], image retrieval [10], object recognition and image classification ...a local feature ... See full document

12

Locality constrained joint dynamic sparse representation for local matching based face recognition.

... signal, image, video processing and biometric applications ...recognition method named Sparse Representation-based Classification (SRC) [6] was proposed by Wright et ...query image is ... See full document

26

EVALUATION OF AREA-BASED IMAGE MATCHING APPLIED TO DTM GENERATION WITH HIRISE IMAGES

... Correlation) method, the Least Squares Matching (LSM) method (Gruen, 1986) and the Multiphoto Geometrically Constrained Matching (MGCM) method (Gruen et Baltsavias, 1988); only the ... See full document

6

Visual indexing and retrieval

... This book includes a preface, a table of contents, six informative chapters and expansive references. In the preface, the editors of the book claim that with the advent of social networks, vast amount of visual ... See full document

2

Multimedia Content Based Image Retrieval Iii: Local Tetra Pattern

... Content Based Image Retrieval methods face several challenges while presentation of results and precision levels due to various specific ...algorithm Local Tetra Pattern (LTrP) is proposed which is ... See full document

4

An Improved Image Segmentation Algorithm Based on MET Method

... effective method to separate objects from the background. A commonly used method, Kittler and Illingworth's minimum error thresholding (MET), improves the image segmentation effect ...threshold ... See full document

6

A MODIFIED PROJECTIVE TRANSFORMATION SCHEME FOR MOSAICKING MULTI-CAMERA IMAGING SYSTEM EQUIPPED ON A LARGE PAYLOAD FIXED-WING UAS

... the image collection ...virtual image for reducing the number of images, post processing time, and for easier stereo ...traditional image matching and applying bundle adjustment method ... See full document

7

Carbonated soft drink classification based on image analysis and PCA.

... DRINK CLASSIFICATION BASED ON IMAGE ANALYSIS AND ...colour-based classification of RGB (red-green-blue) images, acquired using a common scanner, of commercial carbonated soft ...of ... See full document

9

A multi-label learning based kernel automatic recommendation method for support vector machine.

... multi-label classification (MLC) [34–36] has been widely applied in semantic annotation [37, 38], tag recommendation [39], rule mining [40], and information retrieval [41, ...multi-label classification ... See full document

30

A NOVEL KERNEL BASED FUZZY C MEANS CLUSTERING WITH CLUSTER VALIDITY MEASURES

... similarity based inter cluster and intra ...this method is ...that kernel versions of FCM with spatial constraints, such as KFCM, were proposed to solve the drawbacks of ...novel ... See full document

9

Contextual Region of Interest Based Medical Image Compression using Contextual Listless SPIHT Algorithm for Brain Images

... context based method called Contextual Listless Set Partitioning in Hierarchical Trees (CLSPIHT) algorithm for brain images is proposed to overcome this ...this method, the Contextual Region of ... See full document

8

A new method for classification of Brachiopods based on the radon transformation

... The source and sensor are rotated about the center of the object. For each angle  the density of the pixel the ray from the source passes through is accumulated at the sensor. This is repeated for a given set of angels, ... See full document

6

Data embedding techniques in steganography

... cover image by using stego – ...the method used for hide the messages over the ...Adaptive image Steganography based on LSB Matching Revisited, High – dimensional image models to ... See full document

6

Traffic classification based on statistical tests for matching empirical distributions of lengths of IP packets

... The distribution of a random variable aggregates a lot of information regarding the behaviour of that variable. It is assumed that this fact is behind the excellent results obtained during the performance evaluation of ... See full document

78

3MEMC PI Relatório Anexos Cristina Morais 4174

... Adapted from: Inouye SK, vanDyck CH, Alessi CA, Balkin S, Siegal AP, Horwitz RI. Clarifying confusion: The Confusion Assessment Method. A new method for detection of delirium. Ann Intern Med. 1990; 113: ... See full document

42

Object & bridge detection of gis images using pattern recognition and knowledge base

... a method to recognize a bridge over water in remote sensing image by using binary coding specific to combination feature extraction and Discrete Hopfield Neural ...binary coding makes the ... See full document

5

Bag of Features Based Remote Sensing Image Classification Using RANSAC And SVM

... This method works only for smaller data ...content- based image classification owing to their simplicity and good ...the image, evaluating a visual descriptor vector for each patch ... See full document

6

A review of computational methods applied for identification and quantification of atherosclerotic plaques in images

... The classification of hemorrhages into fresh, recent and old was based on the signal intensity from each MR weighted image and the results were correlated with histological ...stages ... See full document

55