The new technique of convolution backprojection algorithm compared with traditional reconstruction algorithm based PC.
基于普通微机，使用这种优化的卷积反投影重建算法与传统重建算法进行了比较。
This paper proposes an algorithm for detecting and tracking human faces on the basis of chromatic histograms and backprojection.
提出了一种基于彩色信息、直方图投影的人脸检测、跟踪算法。
To improve its reconstruction speed, a method combining symmetry with recursion technique to reduce backprojection calculation is presented.
为提高其重建速度，提出了一种利用对称性并结合递归技术的方法来减少该算法的反投影运算量。
Traditional filtered backprojection (FBP) method required complete projection data, which were often difficult or even impossible to acquire for objective reasons.
传统的滤波反投影算法(FBP)要求完备的投影数据，而实际检测中往往由于客观原因无法获得完全的投影数据。
Both convolution Backprojection (CBP) method and direct-Fourier (DF) reconstruction method are the representative algorithms of transform methods in image reconstruction.
卷积反投影(CBP)与直接傅立叶重建(DF)同是图像重建中变换法的典型算法。
It is important to select suitable sampling space and projection data for reducing cost and improving the image reconstruction efficiency in convolution backprojection algorithm.
利用卷积反投影算法对图像进行重建时，要降低成本，提高成像效率，就必须选取合理的抽样间距和投影数。
The image reconstructed by this algorithm is better in the reconstruction accuracy than that reconstructed by the filtered backprojection and algebraic reconstruction techniques.
该算法重建的图像比常用的滤波反投影和代数重建等算法得到的精度高。
The image reconstructed by this algorithm is better in the reconstruction accuracy than that reconstructed by the filtered backprojection and algebraic reconstruction techniques.
该算法重建的图像比常用的滤波反投影和代数重建等算法得到的精度高。
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