Sentence examples for image features extraction from inspiring English sources

In addition to the texture features, the local image features extraction attracting increasing attention in recent years.

This includes image feature extraction and classification using Apache Mahout.

Image feature extraction is a key technique in image recognition and computer vision.

In this paper, a soft sparse coding neural response (SSCNR) was proposed for image feature extraction.

Image feature extraction constitutes a fundamental task in robotic vision applications.

First, the processing cost of image feature extraction and similarity calculation may affect performance negatively.

A classical four-step approach has been adopted (i.e. image acquisition, image feature extraction, image and model feature matching, and camera pose computing).

Therefore, it has become one of the major challenges to improve the processing speed of image feature extraction algorithms.

Zhang and Zhu [17] has used stacked-autoencoders for image feature extraction and softmax regression for classification.

Zhang et al. [13] have used stacked autoencoders for image feature extraction and softmax regression for classification.

Then, a novel image feature extraction method was established through combining the algorithm of machine learning based on JDPCA and conventional feature extraction algorithm without learning.