Structure Guided Salient Region Detector

نویسندگان

  • Shufei Fan
  • Frank P. Ferrie
چکیده

This paper presents a novel method for detection of image interest regions called Structure Guided Salient Regions (SGSR). Following the information theoretic route to saliency detection, we extend Kadir et al.’s Salient Region detector by exploiting image structure information. The detected SGSRs are highly distinct and very selective. For planar scenes, their performance on repeatability tests under viewpoint changes is comparable to the state of the art. For 3D scenes, SGSRs are more likely to be repeatably detected under viewpoint change. Their usefulness for wide baseline matching is demonstrated with a real-world example, where their comparative advantages are shown.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Salient regions detection in satellite images using the combination of MSER local features detector and saliency models

Nowadays, due to quality development of satellite images, automatic target detection on these images has been attracted many researchers' attention. Remote-sensing images follow various geospatial targets; these targets are generally man-made and have a distinctive structure from their surrounding areas. Different methods have been developed for automatic target detection.  In most of these met...

متن کامل

An Affine Invariant Salient Region Detector

In this paper we describe a novel technique for detecting salient regions in an image. The detector is a generalization to affine invariance of the method introduced by Kadir and Brady [10]. The detector deems a region salient if it exhibits unpredictability in both its attributes and its spatial scale. The detector has significantly different properties to operators based on kernel convolution...

متن کامل

The High Repeatability of Salient Regions

In this paper, we show that salient regions, detected by a biologically motivated attention system, have a considerably higher repeatability than features detected by standard detectors (Harris-Laplacians and DoG features). If a scene contains a salient region, which differs in one of several possible features from the rest of the scene, the repeatability is close to 100%. In settings in which ...

متن کامل

Research on Robust Salient Object Extraction in Image a Dissertation Submitted to the Graduate School of Information, Production and Systems of Waseda University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy

Object extraction is an essential branch of the computer vision, concerned with the analysis of images to extract useful information from the world. It covers wide range of image processing fields and plays an important role in computer vision. In this dissertation, contour detection is mainly discussed to realize object extraction, realized in three steps: edge detection, contour segment detec...

متن کامل

Object Recognition based on Local Steering Kernel and SVM

The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008