Browse Publications Technical Papers 2015-36-0225
2015-09-22

Analysis of Methods for Extraction of Information on Images with Low-Depth of Field 2015-36-0225

In order to make devices partially or completely autonomous, it is imperative nowadays to extract relevant information from the myriad of data available. In the last years, it has become very common to use images as signals of interest to propose feasible solution to this problem. Image recognition can be used with high accuracy rates when the object of interest or the environment are controlled or well known. However, in open urban spaces, for instance, where there are all sorts of visual artifacts and stimuli (information), the segmentation of the object of interest (foreground) from the rest of the image (background) is a challenging issue. One possible way to tackle this problem is to use low-depth of field images, which analogously to our visual perception highlight the object of interest from the rest of the image. In this work, some methods and algorithms for segmenting low-depth of field images are analyzed and compared, providing an updated and contextualized version of the state-of-the-art of this topic.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 43% off list price.
Login to see discount.
Special Offer: With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay.
X