This paper presents a novel scheme for automatically aligning two widely separated 3D scenes via the use of viewpoint invariant features. The key idea of the proposed method is following. First, a number of dominant planes are extracted in the SfM 3D point cloud using a novel method integrating RANSAC and MDL to describe the underlying 3D geometry in urban settings. With respect to the extracte...

In quantitative discrete-event simulation, the initial transient phase causes bias in the estimation of steady-state performance measures. Methods for detecting and truncating this phase make calculating accurate estimates from the truncated sample possible, but no methods proposed in the literature have proved to work successfully in the sequential analysis of simulated systems. This report pr...

In the first part of this report, the performance of four state of art detectors is given, both in Repeatability Check and Image Retrieval. In the Repeatabiilty and Matching test,MSER works best in the viewpoint and illunimation change, while SIFT,SURF and Hessian Affine are proved to be robust to the scale changes, image Blur and JEPG compression.On the other hand,in the Image Retrieval Test,S...

We present a scheme for measuring completeness of local feature extraction in terms of image coding. Completeness is here considered as good coverage of relevant image information by the features. As each feature requires a certain number of bits which are representative for a certain subregion of the image, we interpret the coverage as a sparse coding scheme. The measure is therefore based on ...

1. INTRODUCTION Multisensor image registration is necessary in many applications of remote sensing imagery, whose crucial problem is how to establish the correspondence between the features extracted from the reference and input images. Most existing methods only consider how to extract features, however, the quality of the features are ignored. In this paper, we combine scale invariant feature...

Scene text recognition brings various new challenges occurs in recent years. Detecting and recognizing text in scenes entails some of the equivalent problems as document processing, but there are also numerous novel problems to face for recognizing text in natural scene images. Recent research in these regions has exposed several promise but present is motionless much effort to be entire in the...

The wide-baseline stereo problem, i.e. the problem of establishing correspondences between a pair of images taken from different viewpoints is studied. A new set of image elements that are put into correspondence, the so called extremal regions, is introduced. Extremal regions possess highly desirable properties: the set is closed under 1. continuous (and thus projective) transformation of imag...

Reading text from photographs is a challenging problem that has received a significant amount of attention. Two key components of most systems are (i) text detection from images and (ii) text recognition, and many methods have been introduced to design better feature representations and models for both. Scene text recognition has gained significant attention from the computer vision community i...

Observing that text in virtually any script is formed of strokes, we propose a novel easy-to-implement stroke detector which is significantly faster and produces significantly less false detections than the detectors commonly used in scene text localization. First, stroke-specific keypoints are efficiently detected. Text fragments are subsequently extracted by local thresholding guided by keypo...

In the search and rescue efforts soon after disaster such as floods, the time critical activities of survivor detection and localization can be solved by using thermal long-wave infrared (LWIR) cameras which are more robust to illumination and background textures than visual cameras. This particular problem is especially challenging due to the limited computational power available on-board comm...