Depth perception processing using a monocular image
Date of Publication
2012
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Miguel Cabral
Defense Panel Chair
Nathalie Rose Lim-Cheng
Defense Panel Member
Florante R. Salvador
Juan Lorenzo Hagad
Abstract/Summary
Images are the most commonly utilized representation of our surroundings these images are in 2D. However, modern day computers currently have no ability to identify the relative depth of the objects within the image, thus not being able to identify the objects in the image. Depth perception is a common problem in research because there are many ways to tackle the problem such as using depth maps, using stereoscopic devices, etc. Depth perception is important, because depth perception involves the ability to interact with the environment. Today 2D image processing is prominently used in Android and iOS as measurement tools that can measure the height of an object in a 2D image and calories present in a certain food in a 2D image. Our group used existing algorithms to design a method that takes advantage of monocular depth cues present in a 2D image to get an understanding of the relative depth of objects within the image using techniques such as edge detection, line detection, binarization, gray scaling, blob detection, object detection, etc. This allowed the computer to identify the layering of the depth in an image, such as if object A is in front of the Object B, or Object B is in front of Object A, or if another entire object Object C is either behind or in front of both objects. This enabled a better way of interacting with the environment using machines.
Abstract Format
html
Language
English
Format
Accession Number
TU18495
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
69, 3 leaves : illustrations (some colored) ; 28 cm.
Recommended Citation
Carandang, L. T., Doroja, M. R., Sandoval, F. N., & Zialcita, G. C. (2012). Depth perception processing using a monocular image. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/12173
