{"title":"基于全向图像阴影面积的光照环境估计","authors":"Masashi Baba, Kesuke Haruta, S. Hiura","doi":"10.1145/2945078.2945166","DOIUrl":null,"url":null,"abstract":"To create realistic CG images, the information about the lighting is very important. There are two ways to estimate the information of the light source. One is a direct measurement method using images captured with a fish-eye lens or a spherical mirror[Debevec 1998], and the other is an indirect measurement method to estimate positions and intensities of the light sources from the shadow information of objects[Sato et al. 2003]. In the direct measurement method, by concerning pixels of the captured image as light sources having corresponding intensities, it is possible to estimate the lighting environment densely. However, for a high-intensity light source like the sun, the dynamic range of the camera is insufficient, and the radiant intensity of the light source cannot be accurately estimated. So, we propose a method that combines a direct measurement technique and an indirect measurement method. In our proposed method, the light source information of the high-intensity area in the captured image is estimated by indirect measurement method. In the experiments using real images, even for outdoor scenes that contain the high-intensity light source like the sun, the measurement of the light source environment could be performed by the proposed method. Also, it was confirmed that images including realistic shadows equivalent to real images could be created.","PeriodicalId":417667,"journal":{"name":"ACM SIGGRAPH 2016 Posters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Estimating lighting environments based on shadow area in an omni-directional image\",\"authors\":\"Masashi Baba, Kesuke Haruta, S. Hiura\",\"doi\":\"10.1145/2945078.2945166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To create realistic CG images, the information about the lighting is very important. There are two ways to estimate the information of the light source. One is a direct measurement method using images captured with a fish-eye lens or a spherical mirror[Debevec 1998], and the other is an indirect measurement method to estimate positions and intensities of the light sources from the shadow information of objects[Sato et al. 2003]. In the direct measurement method, by concerning pixels of the captured image as light sources having corresponding intensities, it is possible to estimate the lighting environment densely. However, for a high-intensity light source like the sun, the dynamic range of the camera is insufficient, and the radiant intensity of the light source cannot be accurately estimated. So, we propose a method that combines a direct measurement technique and an indirect measurement method. In our proposed method, the light source information of the high-intensity area in the captured image is estimated by indirect measurement method. In the experiments using real images, even for outdoor scenes that contain the high-intensity light source like the sun, the measurement of the light source environment could be performed by the proposed method. Also, it was confirmed that images including realistic shadows equivalent to real images could be created.\",\"PeriodicalId\":417667,\"journal\":{\"name\":\"ACM SIGGRAPH 2016 Posters\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2016 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2945078.2945166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2016 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2945078.2945166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
为了创建逼真的CG图像,关于照明的信息非常重要。估计光源信息的方法有两种。一种是利用鱼眼镜头或球面镜捕获图像的直接测量方法[Debevec 1998],另一种是利用物体阴影信息估计光源位置和强度的间接测量方法[Sato et al. 2003]。在直接测量法中,通过将捕获图像的像素作为具有相应强度的光源,可以密集地估计照明环境。然而,对于太阳这样的高强度光源,相机的动态范围不足,无法准确估计光源的辐射强度。因此,我们提出了一种直接测量技术和间接测量技术相结合的方法。该方法采用间接测量的方法对捕获图像中高强度区域的光源信息进行估计。在使用真实图像的实验中,即使是太阳等含有高强度光源的户外场景,也可以使用该方法进行光源环境的测量。另外,还确认了可以制作出与真实影像相当的逼真阴影的影像。
Estimating lighting environments based on shadow area in an omni-directional image
To create realistic CG images, the information about the lighting is very important. There are two ways to estimate the information of the light source. One is a direct measurement method using images captured with a fish-eye lens or a spherical mirror[Debevec 1998], and the other is an indirect measurement method to estimate positions and intensities of the light sources from the shadow information of objects[Sato et al. 2003]. In the direct measurement method, by concerning pixels of the captured image as light sources having corresponding intensities, it is possible to estimate the lighting environment densely. However, for a high-intensity light source like the sun, the dynamic range of the camera is insufficient, and the radiant intensity of the light source cannot be accurately estimated. So, we propose a method that combines a direct measurement technique and an indirect measurement method. In our proposed method, the light source information of the high-intensity area in the captured image is estimated by indirect measurement method. In the experiments using real images, even for outdoor scenes that contain the high-intensity light source like the sun, the measurement of the light source environment could be performed by the proposed method. Also, it was confirmed that images including realistic shadows equivalent to real images could be created.