Abstract Recovering three-dimensional structure from images is one of the important researches in computer vision. The quality feature matching keys to obtaining more accurate results. However, as different objects or surfaces have similar with same elements and typography, camera pose estimation will be wrong task fail. This paper proposes a new mismatch elimination algorithm based on global t...

Feature matching and finding correspondences between endoscopic images is a key step in many clinical applications such as patient follow-up generation of panoramic image from sequences for fast anomalies localization. Nonetheless, due to the high texture variability present images, development robust accurate feature becomes challenging task. Recently, deep learning techniques which deliver le...

The paper analyzes the techniques of image template matching, and gives a matching framework based on generalized Hough transform, which is applicable to lots of current methods. With the framework’s guidance, extracting image features with specific characteristics and devising feature matching algorithms become easier and more efficient. We propose a new fast matching algorithm as evidence. It...