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Aiming at the passive ranging to the non-cooperate target, the passive ranging algorithm based on the image sequence is proposed. The analysis on the image matching algorithms were performed, including SIFT, SURF, and ASURF. In which, the SURF algorithm is better method in our system becouse of the real time and precision. It can find plenty of special regions from the target images grabbed at real...
Against to the low precision and efficiency of most current image stitching techniques, this paper proposes an algorithm for automatic stitching of sequence images. Extracting the feature corners from the image and selecting the most suitable ones to track, then these selected corners are regarded as moving objects, tracked and located accurately in all the sequence images with our modified KLT tracker...
This paper presents an in-depth analysis of the SIFT and SURF feature detection and matching techniques in characterizing natural environments for vision based navigation problems, in particular, the performance of feature extraction algorithms and matching when both visual and infrared data are used. With successful utilization of both feature extraction methods on different characteristic images,...
A new interactive technique for mobile phones using built-in cameras is presented. Users can use the path that connects center points of frames in the captured image sequence to indicate an object contour or a curve text line. To estimate the camera movement, Speeded-Up Robust Features (SURF) is used to estimate the spatial transformation parameters between the previous and current frames. These parameters...
In this paper, we present some spatio-temporal (XYT) approaches for global-based action representation at the top of the motion history image method. Action representations can be considered as image templates, which can be useful for understanding various actions or gestures as well as for recognition and analysis. These spatio-temporal representations can be useful for various games environments...
Video stabilization is one of the most important enhancement techniques used to remove undesired motion in a video. Combination of global camera motion estimation along with motion separation determines the undesired motion, which is to be compensated to produce a stable video sequence. In this paper a novel method for robust video stabilization is proposed which uses Speeded Up Robust Features(SURF)...
This research proposes a perspective invariant registration algorithm which improves on popular registration algorithms such as SIFT and SURF by correcting for perspective distortion using optical flow. A novel addition to the natural feature based registration process is proposed, which uses orientation information from previously correctly registered frames to attempt perspective correction. This...
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