scale-invariant object recognition
Biologically-Inspired Translation, Scale, and rotation invariant object recognition models
... Utilizing this concept, the model is constructed with alternating simple cell layer and complex cell layer based on the hierarchical model in [Perret and Oram 1993]. To make the model tolerant to position and ...
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A Review on Image Based Person And Object Recognition using SIFT and HMM
... J. L. MazherIqbal, et al. [03],The paper discusses abnormalities in the human activity and provides efficient solution to detect abnormality. The first step in the proposed work is to capture the video using webcam and ...
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Construction of Three-Dimensional Feature Point Model for Virtual Assembly System using Visual ID Tags
... the recognition of objects by means of natural feature ...the Scale-Invariant Feature Transform (SIFT) features [6] and the 3D coordinates of the fea- ture points of an ...an object, the SIFT ...
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Zoom techniques for achieving scale invariant object tracking in real-time active vision systems
... an object of interest by moving the camera, then gains additional information about the object by ...of object recognition algorithms in real-time systems is the quality of captured imagery; ...
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Deformation specific and deformation invariant visual object recognition : pose vs identity recognition of people and deforming objects
... The findings described in this paper demonstrate a mechanism by which neurons that respond to pose independently of individ- ual person identity could be formed, and also how neurons that respond to identity ...
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FUSION OF SCALE INVARIANT FEATURES TRANSFORM AND WAVELET TRANSFORM TECHNIQUES FOR OBJECT DETECTION
... in object recognition and ...images. Scale- invariant feature transform is an algorithm in computer vision to detect and describe local features in image ....object recognition, ...
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Implementation of SIFT In Various Applications
... The Scale Invariant Feature Transform (SIFT) was proposed by David Lowe in 1999 [1] whereby he basically used this algorithm in the field of Object ...and invariant to any scaling, rotation or ...
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Scale Invariant Gabor Descriptor-Based Noncooperative Iris Recognition
... and are invariant to image scale and rotation. This method has been widely used in current object recognition. In [37], Ke and Sukthankar applied Principal Components Analysis (PCA) to the ...
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Rotation, Scale and Font Invariant Character Recognition System using Neural Networks
... The presented algorithm is an approach for extraction of text from the scene and can be extended to application like in library, word processing, and image to text converters. Some existing approaches for the same are ...
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Scale Saliency: Applications in Visual Matching, Tracking and View Based Object Recognition
... sure that spatial arrangement of the matched salient points is consistent with the arrangement in the query image, sub- ject to a range of geometric transforms. Some form of graph matching algorithm, such as [10], may be ...
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Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images
... Roughly speaking, a steerable pyramid is a method by which images are decomposed into a set of multiscale, and multiorientation image subbands, where the basis functions are directional derivative operators [27]. Our ...
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A Review on Feature Extraction for Indian and American Sign Language
... the object in a ...for recognition of an object there is need to describe the properties of these groups of ...distance[7], scale invariant feature transform[11], Principal Component ...
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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... and recognition is becoming one of the major research areas in computer ...more. Object detection is use to detect the main point of object in an ...Generally, object detection is divided into ...
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IJCSMC, Vol. 3, Issue. 7, July 2014, pg.876 – 882 RESEARCH ARTICLE A THREE DIMENSIONAL MODAL TO PERFORM FACE AREA (ROI) IDENTIFICATION
... the recognition model is having the dataset of some defined feature ...the recognition process will be ...this recognition there are number of supervised and unsupervised recognition ...The ...
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Traffic Sign Recognition System for Imbalanced Dataset
... The first step in the problems of classification is usually transform the pixel array of image to feature sample which is used to detect objects in the images [6]. For this purpose, Scale-Invariant Feature ...
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Automatic Mexican Sign Language Recognition Using Normalized Moments and Artificial Neural Networks
... Abstract This document presents a computer vision system for the automatic recognition of Mexican Sign Language MSL, based on normalized moments as invariant to translation and scale tra[r] ...
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AN OVERVIEW OF TECHNOLOGY EVOLUTION: INVESTIGATING THE FACTORS INFLUENCING NON BITCOINS USERS TO ADOPT BITCOINS AS ONLINE PAYMENT TRANSACTION METHOD
... In general sketch and character recognition has been focused from past many years. Recently, due to importance of electronic circuit analysis, many researchers are actively working towards developing algorithms ...
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Illumination Invariant Face Recognition
... In many existing techniques, only the small-scale features are extracted for face recognition in order to avoid the illumination variation problem. Such methods mainly include Land’s Retinex model [13] and ...
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Automated Attendance by Face Recognition and SMS Sending to the Authorized Person
... • This approach has been named the Scale Invariant Feature Transform (SIFT), as it transforms image data into scale-invariant coordinates relative to local features. An important aspect of ...
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The theory of classification part 5: axioms, assertions and subtyping
... existing object subtyping rules [2] to derive subtyping rules governing the strengthening, or weakening of ...an object type which adds to the methods of another object type is a ...an object ...
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