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Fuzzy C- means Algorithm based Depth Estimation in Single Image

V. M. Vismaya, N Manohar

Year
2020
Citations
2

Abstract

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.

Keywords

Artificial intelligenceComputer visionComputer scienceDepth mapPosition (finance)Object (grammar)Perspective (graphical)SegmentationFeature extractionFeature (linguistics)

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