Emotional Image Classification Based on Color Scale Invariant Feature Transform Feature and Spatial Pyramid Model

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Classification of Satellite Images based on Scale-Invariant Feature Transform

From the immense amount of images being sent to Earth by satellites, it takes too much time for a human to go through each image and classify what the image represents. Therefore, we are able to use classifiers to classify these images. In this paper, we used two different classification methods to classify satellite images. Between the two classifiers we used, both K-Nearest-Neighbor and Suppo...

متن کامل

Digital Image Stabilization Based on Improved Scale Invariant Feature Transform

A novel digital image stabilization approach using Harris and Scale Invariant Feature Transform (SIFT) was presented in this article. Using SIFT in digital image stabilization, too many feature points and matches were extracted, but some of them were not so stable. Using these feature points and matches can not only increase the computational effort, but also enhance the wrong matching probabil...

متن کامل

Feature Extraction and Localisation using Scale-Invariant Feature Transform on 2.5D Image

The standard starting point for the extraction of information from human face image data is the detection of key anatomical landmarks, which is a vital initial stage for several applications, such as face recognition, facial analysis and synthesis. Locating facial landmarks in images is an important task in image processing and detecting it automatically still remains challenging. The appearanc...

متن کامل

Fast Implementation of Scale Invariant Feature Transform Based on CUDA

Scale-invariant feature transform (SIFT) was an algorithm in computer vision to detect and describe local features in images. Due to its excellent performance, SIFT was widely used in many applications, but the implementation of SIFT was complicated and time-consuming. To solve this problem, this paper presented a novel acceleration algorithm for SIFT implementation based on Compute Unified Dev...

متن کامل

-SIFT: -Dimensional Scale Invariant Feature Transform

We propose the -dimensional scale invariant feature transform ( -SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method’s performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for extracting and matching distinctive scale invarian...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Image and Signal Processing

سال: 2014

ISSN: 2325-6753,2325-6745

DOI: 10.12677/jisp.2014.31001