Without increasing the complexity of previous warping method, this algorithm greatly reduces the computation required in image synthesis from multiple reference images.
算法在不增加原有图像映射算法复杂度的基础上,大大降低了原有多幅图像合成算法的计算量。
Comparing with the usual forward mapping methods, this algorithm generates derived images with less errors and tackles the problems associated with multiple reference images.
与通常的正向映射算法相比,该算法克服了多幅参考图像所带来的计算量成倍增长等问题,而且误差较小。
A novel iterative approach is proposed for precise aligning multiple 3D images captured from difference views of a natural object surface in one reference coordinate system.
为了高质量准确地对物体多视角三维图象进行快速对齐复位,提出了一种将多个视角三维自然曲面数据精确对齐复位于同一坐标系中的新型迭代方法。
A novel iterative approach is proposed for precise aligning multiple 3D images captured from difference views of a natural object surface in one reference coordinate system.
为了高质量准确地对物体多视角三维图象进行快速对齐复位,提出了一种将多个视角三维自然曲面数据精确对齐复位于同一坐标系中的新型迭代方法。
应用推荐