Using mutual information for appearance-based visual path following
نویسندگان
چکیده
منابع مشابه
Using mutual information for appearance-based visual path following
In this paper we propose a new way to achieve a navigation task (visual path following) for a non-holonomic vehicle. We consider an image-based navigation process. We show that it is possible to navigate along a visual path without relying on the extraction, matching and tracking of geometric visual features such as keypoint. The new proposed approach relies directly on the information (entropy...
متن کاملMutual information based visual feature selection for lipreading
Image transforms, such as the discrete cosine, are widely used to extract visual features from the speaker’s mouth region to be used in automatic speechreading and audio-visual speech recognition. Typically, the spatial frequency components with the highest energy in the transform space are retained for recognition. This paper proposes an alternative technique for selecting such features, by ut...
متن کاملreducing interpolation artifacts for mutual information based image registration
medical image registration methods which use mutual information as similarity measure have been improved in recent decades. mutual information is a basic concept of information theory which indicates the dependency of two random variables (or two images). in order to evaluate the mutual information of two images their joint probability distribution is required. several interpolation methods, su...
متن کاملImproving Recall in Appearance-Based Visual SLAM using Visual Expectation
In this paper, we present a new algorithm for boosting visual template recall performance through a process of visual expectation. Visual expectation dynamically modifies the recognition thresholds of learnt visual templates based on recently matched templates, improving the recall of sequences of familiar places while keeping precision high, without any feedback from a mapping backend. We demo...
متن کاملNeural-swarm visual saliency for path following
This paper extends an existing saliency-based model for path detection and tracking so that the appearance of the path being followed can be learned and used to bias the saliency computation process. The goal is to reduce ambiguities in the presence of strong distractors. In both original and extended path detectors, neural and swarm models are layered in order to attain a hybrid solution. With...
متن کاملذخیره 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: Robotics and Autonomous Systems
سال: 2013
ISSN: 0921-8890
DOI: 10.1016/j.robot.2012.11.004