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Fuzzy C- means Algorithm based Depth Estimation in Single Image

机译:基于模糊C均值算法的单幅图像深度估计

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Depth estimation in single image aims to find the depth of different individual objects and the position of an object. Based on the Make3D dataset, first image segmentation is done using GMM and to describe their main features and attributes, the feature extraction is done using PCA, finally depth map will be generated with the help of FCM algorithm. Depth map provide as an excellent method to visualize distance of the surfaces of scene objects from a viewpoint. The platform used here is MATLAB R2018a. In our method, the final depth map is represented using different color where yellow color represents far objects and blue color indicates nearest objects. In the aforementioned perspective, the proposed model establishes a relationship between depths of different individual objects. It is very important for several computer vision applications like robot, obstacle avoidance, object recognition, self-driving car etc. The major finding of our study is to find the depth and position of different individual objects.
机译:单个图像中的深度估计旨在找到不同的单个对象的深度和对象的位置。基于Make3D数据集,首先使用GMM进行图像分割并描述其主要特征和属性,然后使用PCA进行特征提取,最后借助FCM算法生成深度图。深度图提供了一种极好的方法来可视化场景对象表面从视点的距离。这里使用的平台是MATLAB R2018a。在我们的方法中,最终的深度图使用不同的颜色表示,其中黄色表示远处的物体,蓝色表示最近的物体。在上述观点中,提出的模型建立了不同单个对象的深度之间的关系。对于机器人,避障,物体识别,自动驾驶汽车等多种计算机视觉应用而言,这非常重要。我们研究的主要发现是找到不同单个物体的深度和位置。

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