應用不受光照影響的色彩描述式做影像比對

Illumination Invariant Color Descriptors for Image Matching

王鼎富(Ding-Fu Wang)

指導教授 ： 黃惠藩

亞洲大學/資訊學院/資訊工程學系碩士班/碩士(2009年)

摘要

在電腦視覺中，顏色始終扮演著重要的角色，能替各種電腦視覺的應用如影像辨識、物件辨識、影像檢索…等提供有用的資訊。然而物件的顏色很容易受到光線幾何、照明顏色、和物體上的鏡面反射(highlight)所影響。
本研究提出了一個能運用在影像比對和物件辨識的色彩模型，且此模型具有不受照明、鏡面反射影響的特性。此模型是利用兩個鄰近像素間各個顏色差異的比率來所組成。基於dichromatic色彩反射模型，我們証明此色彩模型不受光照幾何、照明顏色、鏡面反射、散射所影響。
實驗結果顯示出我們提出的色彩模型在對於不同照明顏色及光照幾何下仍擁有強健的影像比對表現。

關鍵字

電腦視覺 ； 色彩模型 ； 影像比對

並列摘要

In computer vision, color has always played an important role. Color can provide critical information for a variety of computer vision tasks such as image matching, object recognition, and image retrieval. However, object colors are sensitive to lighting geometry, illumination color, and hightlights.
In this paper we present a color model for image matching and object recognition that is invariant for illumination and highlights. The color model is defined as the ratios of the color differences between neighboring pixels for each color component. Based on the dichromatic reflection color model, it is shown that the proposed color model is invariant to lighting geometry, illumination color, highlights, and diffuse lighting.
Experimental results show robust image matching using the proposed color model on objects that are illuminated under different illumination colors and lighting geometry.

並列關鍵字

computer vision ； color model ； image matching

參考文獻

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