Illumination robust interest point detection
نویسندگان
چکیده
Article history: Received 12 February 2008 Accepted 26 November 2008 Available online xxxx
منابع مشابه
A robust wavelet based profile monitoring and change point detection using S-estimator and clustering
Some quality characteristics are well defined when treated as response variables and are related to some independent variables. This relationship is called a profile. Parametric models, such as linear models, may be used to model profiles. However, in practical applications due to the complexity of many processes it is not usually possible to model a process using parametric models.In these cas...
متن کاملIndexing Based on Scale Invariant Interest Points
This paper presents a new method for detecting scale invariant interest points. The method is based on two recent results on scale space: 1) Interest points can be adapted to scale and give repeatable results (geometrically stable). 2) Local extrema over scale of normalized derivatives indicate the presence of characteristic local structures. Our method first computes a multi-scale representati...
متن کاملA Study on Moving Object Tracking Algorithm Using SURF Algorithm and Depth Information
This paper is a study on real-time object tracking algorithm using depth information of the Kinect and fast speeded up robust feature(SURF) algorithm. Depth information of the Kinect is used to overcome the disadvantage which continuously adaptive meanshift(Camshift) and Meanshift have of illumination and noise. Because processing time of SURF algorithm is faster than that of scale invariant fe...
متن کاملStable Interest Point Detection under Illumination Changes Using Colour Invariants
Stable interest point detection is relevant for many computer vision applications. However, most detectors are sensitive to illumination changes, as their response varies with image contrast. In the best case, detection stability is increased using a simple image formation model assuming that illumination effects cause slowly varying changes in the image. This does not accurately model shadows ...
متن کاملIllumination invariant interest point detection for vision based recognition tasks
Vision based recognition systems learn the appearance of given objects using images. These objects can be recognised and localised in other images after camera motion and illumination changes. The goal of this work is to improve the ability of such systems to recognise objects after illumination changes. Recognition systems usually reduce the amount of image data used for recognition by detecti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Computer Vision and Image Understanding
دوره 113 شماره
صفحات -
تاریخ انتشار 2009