Optimization of Stereo Matching Based on Cross-Based Local Construction

近年來，立體視覺應用於許多領域，如數位媒體,數位醫學，物體檢測，航空， 建模等等方面物體檢測以及建模等等。通常，深度圖和其對應的彩色圖像用於重 建3D場景。如何獲得即時的高精度的深度圖是立體影像研究中極為關鍵的一點。 本篇論文提出的演算法是基於Semi-Global Matching演算法的，並以動態生成的 十字區域作為聚合區域。該提出的演算法在準確性和速度上達到了極好的平衡 （中和）並需要較少的硬體消耗。Recent years, stereo visions are widely applied to various elds，such as digital entertainment, digital medical, obstacles detection, aerospace and modeling. Usually,depth maps and corresponding color images are used to reconstruct 3D scenes. How to achieve high-accuracy depth maps in real time have be- come the key point in stereo vision study. The algorithm proposed in this article is based on the Semi-Global Matching algorithm using adaptively upright cross support region as cost aggregation area. The proposed method have gained rather good balance between acc- uracy and speed also with reduced hardware consumption