360度全景影像修正暨邊緣偵測之硬體實現

A Hardware Implementation of Edge Detection and Lens Correction for 360-degree Panorama

周台大(Tai-Ta Chou)

指導教授 ： 楊佳玲

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2007年)

https://doi.org/10.6342/NTU.2007.00300

摘要

無資料

關鍵字

全景影像 ； 邊緣偵測 ； 可程式化邏輯閘陣列

並列摘要

Traditionally, image stitching allows users to combine multiple regular-sized images into a single wide-angle picture, often be named as a panoramic picture. In order to create such a panoramic picture, users usually need to take a lot of photographs, then upload them to a PC and stitch. Now, we only take one shot using an omnidirectional sensor, then we can get a 360-degree full environmental image. In this way, we can have a panoramic image easier and faster than before. Because of this reason, more and more researches and applications start to change traditional sensor to omnidirectional sensor. In recent year, mobile robot is an active research project, especially for robotic vision system. Eyes are the window of the soul. Hence, we believe that vision for mobile robot is as important as eye for human. Through omnidirectional sensor, mobile robots can receive more environmental information and then it will have more abilities for moving and locating. In this work, we will describe how to unwrap an omnidirectional image to a correctly panoramic image and use edge detection to get the whole environmental edge's information. Beside, we will implement the design into hardware to have a better computation performance. The experimental result will show out panoramic video output from an omnidirectional RGB camera input.

並列關鍵字

Panorama ； Edge Detection ； FPGA

參考文獻

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