Face detection in a compressed domain

Guido Manfredi, D. Ziou, M. Auclair-Fortier
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引用次数: 14

Abstract

We focus on the Viola-Jones face detector in the Discrete Cosine Transform (DCT). In order to avoid typical pitfalls due to features in the DCT domain we propose to merge the integral image stage with the decompression process, thus saving time for both operations. The proposed method saves 128 additions and 224 multiplications on an 8×8 block for a simple integral image. We propose a similar method for fast feature contrast adjustment by computing the squared integral image using DCT and simple integral image coefficients. These methods are faster and more transmission error resilient than classical methods.
压缩域中的人脸检测
我们重点研究离散余弦变换(DCT)中的Viola-Jones人脸检测器。为了避免由于DCT域中的特征而导致的典型缺陷,我们提出将积分图像阶段与解压缩过程合并,从而节省了两个操作的时间。对于简单的积分图像,该方法在8×8块上节省了128次加法和224次乘法。我们提出了一种类似的方法,通过使用DCT和简单的积分图像系数计算积分图像的平方来快速调整特征对比度。与传统方法相比,这些方法速度更快,具有更强的传输误差弹性。
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