Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/91833
標題: 以光場相機拍攝人物影像之臉部擷取
Face Segmentation In Portrait Images by Light Field Camera
作者: Wei-Hao Huang
黃威豪
關鍵字: Face segmentation
skin-tone segmentation
light field camera
shape from focus
sharpness index
connected component labeling
人臉擷取
膚色分割
光場相機
對焦成形法
銳利度運算子
連通元件標記法
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摘要: 近年來數位相機逐漸普及,而人物拍攝是其主要的用途之一,但受限於數位相機本身單點對焦和僅能辨識對焦清晰的人臉,無法在拍攝人像時辨識出所有的人臉。光場相機是Lytro公司於2012年所發表的,此相機有可在任意點對焦的特性,但沒有辨識人臉影像的功能,所以本研究嘗試運用其特性來擷取出光場影像中所有的人臉,以解決數位相機無法辨識所有人臉的問題。 我們提出的方法中,首先利用光場相機可在任點對焦的特性,手動取得多張不同對焦人臉位置點的影像。在光場影像執行膚色分割得到二值化的結果,再進行連通元件標籤法將所有可能的人臉位置標示。為取得人臉之間的相對深度資訊,我們設計深度實驗攝影,找出對焦成形法和銳利度運算子(平均梯度)的閥值範圍,來輔助判斷人臉的位置。 實驗結果證實本文的演算法可以在光場影像中有效擷取出影像中所有的人臉,它們可以應用在光場相機對人臉進行對焦或進一步做人臉辨識。
Digital Cameras become more popular in recent years, and portrait photography is one of their major applications. Due to its limitation of focusing on a single point and the capability of identifying only clearly focused faces, the digital camera can hardly identify all faces in the image. The light field camera, presented by the Lytro- company in 2012, has the capability of focusing on any point in an image. Since it has no face segmentation function yet, this research tries to use its special capability to enhance the face segmentation in the images. In our method, first a number of images focused on different faces are taken, using the capability of focusing on any point in an image taken by the light field camera. Then the images are transformed into binary images by thresholding according to the skin tone of the faces. The connected component labeling operation is used to find all the possible faces in the images. To get the relative depth information between the faces in the image, an experiment is conducted to measure the value of the thresholds of shape from focus and sharpness index ,which are used to assist to evaluate the right position of faces. The experimental results show that our method can extract all the possible faces in the images, which can be used to adjust the focus of the light field camera or for the further face recognition task.
URI: http://hdl.handle.net/11455/91833
文章公開時間: 2015-10-21
Appears in Collections:通訊工程研究所

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