针对基于图像特征点的配准方法中对应特征对难以准确提取的问题，提出一种基于兴趣点匹配的图像自动拼接方法。
Since the corresponding pair of feature points was difficult to be extracted in feature points registration methods, an image mosaic method based on interest point matching was presented.
而这个过程需要兴趣和承诺，以及一点培养的方法来加强你的适应性特征。
All it takes is an interest and commitment to the process, and a little information on how to develop and strengthen traits of resilience.
在获得了兴趣点之后，利用兴趣点处的局部灰度差分不变量进行序列图像的点特征匹配。
Once the interest points were detected, the image matching process in an image sequence is performed using local gray-value differential invariants.
为此，提出了基于时空兴趣点局部时空特征的运动表示方法，实现了基于时空单词的动作识别。
This paper employs the motion representation based on space-time interest points and implements action recognition method based on spatiotemporal codebook and words.
为此，提出了基于时空兴趣点局部时空特征的运动表示方法，实现了基于时空单词的动作识别。
This paper employs the motion representation based on space-time interest points and implements action recognition method based on spatiotemporal codebook and words.
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