CAJ | 학술논문

图像深度信息获取是机器视觉领域的活跃研究课题之一.将图像深度估计问题归结为模式识别问题,以单目图像深度为模式类,在多尺度下从图像块中提取绝对和相对深度特征,并选择表征上下文关系的DRF(Discriminative Random Field)方法来表述某图像块的深度和其邻域深度之间的关系,从而构建起基于DRF-MAP(Maximum a posteriori)的单目图像深度估计模型.通过实验,得到了一类单目图像对应的深度图像,从而证明了单目图像深度估计模型对应的改进算法的有效性.
도상심도신식획취시궤기시각영역적활약연구과제지일.장도상심도고계문제귀결위모식식별문제,이단목도상심도위모식류,재다척도하종도상괴중제취절대화상대심도특정,병선택표정상하문관계적DRF(Discriminative Random Field)방법래표술모도상괴적심도화기린역심도지간적관계,종이구건기기우DRF-MAP(Maximum a posteriori)적단목도상심도고계모형.통과실험,득도료일류단목도상대응적심도도상,종이증명료단목도상심도고계모형대응적개진산법적유효성.
Depth Estimation is an active research area in computer vision.We viewed this problem as an issue of Pattern Recognition.The depth of monocular images is the pattern to be classified.Based on DRF-MAP Model,we combined absolute features and relative features of the monocular images in multi-scale,modeled the relationship between depths and features and those relations among depths at different patches in the image.Our algorithm is able to receive depth-maps for certain kinds of monocular images,which demonstrates the algorithm'S effectiveness of the model.