Performance Improvement in Vslam Using Stabilized Feature Points

Improvement of lipreading performance using discriminative feature and speaker adaptation

In this paper, we apply a general and discriminative feature ”GIF” (Genetic Algorithm based Informative feature) to lipreading (visual speech recognition), and improve the lipreading performance using speaker adaptation. The feature extraction method consists of two transforms, which convert an input vector into GIF for recognition. In the speaker adaptation, MAP (Maximum A Posteriori) adaptati...

Disparity Using Feature Points in Multi Scale

Binocular disparity refers to a small positional differences between corresponding image features in the two eyes. In this study, population vector is used to code the hyper column structure of visual cortical areas in primates and the feature points, which are population vectors at high contrast contours of the objects, are used in order to estimate disparity between stereo images while orient...

Performance Improvement and Feature Enhancement of WriteOn

Comparing combinations of feature regions for panoramic VSLAM

Invariant (or covariant) image feature region detectors and descriptors are useful in visual robot navigation because they provide a fast and reliable way to extract relevant and discriminative information from an image and, at the same time, avoid the problems of changes in illumination or in point of view. Furthermore, complementary types of image features can be used simultaneously to extrac...

Improvement of effort estimation accuracy in software projects using a feature selection approach

In recent years, utilization of feature selection techniques has become an essential requirement for processing and model construction in different scientific areas. In the field of software project effort estimation, the need to apply dimensionality reduction and feature selection methods has become an inevitable demand. The high volumes of data, costs, and time necessary for gathering data , ...