摘要
SIFT算法广泛应用于计算机视觉等领域,而该算法具有较高复杂度,为此提出了一种基于改进SIFT特征提取的视频全景合成方法。该方法采用了多核系统平台并行优化来实现SIFT算法,首先对相邻视点的特征进行配准,然后对重合区域进行双线性融合,减少了视差的影响,同时克服了SIFT算法高复杂度问题。实验结果证明,SIFT算法的并行实现能够实时处理视频拼接,并在大角度旋转情况下仍能较好地合成视图。
Scale Invariant Feature Transform（SIFT） has been widely applied to many computer vision problems.But it has higher complexity.To tackle this challenging situation,an improved SIFT approach is proposed to generate panorama.Based on the multi-core system platform,this approach first uses parallel optimization to implement SIFT algorithm.And then it estimates the perspective motion model to align the adjacent views by SIFT features.Through the blending,the video panorama can be synthesized.The experimental results show that the proposed method can real-time deal with video mosaic,and also effectively synthesize different views with misregistration or parallax.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第20期56-59,67,共5页
Computer Engineering and Applications
基金
教育部-英特尔信息技术专项科研基金No.MOE-INTEL-08-08~~
