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公开(公告)号：US20150170369A1
公开(公告)日：2015-06-18
申请号：US14319024
申请日：2014-06-30
Applicant: Google Inc.
Inventor： Agis Iakovos Mesolongitis , Mark Alan Duchaineau , Jonah Jones
CPC classification number: G06K9/00288 , G01N21/55 , G06K9/46 , G06K9/4661 , G06K17/00 , G06T7/507 , G06T7/62 , G06T7/90 , G06T15/50 , G06T17/00 , G06T17/05 , G06T17/10 , G06T2207/10032
Abstract: Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.
Abstract translation: 本公开的方面通常涉及确定对象的镜面反射度。 作为示例，可以选择几何的对象或区域。 可以捕获包括几何区域的一组图像。 可以对这组图像进行滤波以去除不能显示几何图形区域的图像，例如，如果该区域处于阴影或被另一个对象遮挡的图像。 为每个图像确定该区域的一组强度值。 至少基于在拍摄特定图像时捕获特定图像的相机的方向来确定每个图像的一组角度值。 平均强度和角度值集合配对并适合曲线。 该区域的镜面反射度可以至少基于拟合来分类。
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公开(公告)号：US08805088B1
公开(公告)日：2014-08-12
申请号：US14107210
申请日：2013-12-16
Applicant: Google Inc.
Inventor： Agis Iakovos Mesolongitis , Mark Alan Duchaineau , Jonah Jones
CPC classification number: G06K9/00288 , G01N21/55 , G06K9/46 , G06K9/4661 , G06K17/00 , G06T7/507 , G06T7/62 , G06T7/90 , G06T15/50 , G06T17/00 , G06T17/05 , G06T17/10 , G06T2207/10032
Abstract: Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.
Abstract translation: 本公开的方面通常涉及确定对象的镜面反射度。 作为示例，可以选择几何的对象或区域。 可以捕获包括几何区域的一组图像。 可以对这组图像进行滤波以去除不能显示几何图形区域的图像，例如，如果该区域处于阴影或被另一个对象遮挡的图像。 为每个图像确定该区域的一组强度值。 至少基于在拍摄特定图像时捕获特定图像的相机的方向来确定每个图像的一组角度值。 平均强度和角度值集合配对并适合曲线。 该区域的镜面反射度可以至少基于拟合来分类。
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公开(公告)号：US09076032B1
公开(公告)日：2015-07-07
申请号：US14319024
申请日：2014-06-30
Applicant: Google Inc.
Inventor： Agis Iakovos Mesolongitis , Mark Alan Duchaineau , Jonah Jones
CPC classification number: G06K9/00288 , G01N21/55 , G06K9/46 , G06K9/4661 , G06K17/00 , G06T7/507 , G06T7/62 , G06T7/90 , G06T15/50 , G06T17/00 , G06T17/05 , G06T17/10 , G06T2207/10032
Abstract: Aspects of the disclosure relate generally to determine specularity of an object. As an example an object or area of geometry may be selected. A set of images that include the area of geometry may be captured. This set of images may be filtered to remove images that do not show the area of geometry well, such as if the area is in a shadow or occluded by another object. A set of intensity values for the area are determined for each image. A set of angle values for each image is determined based on at least a direction of a camera that captured the particular image when the particular image was captured. The set of average intensities and the set of angle values are paired and fit to a curve. The specularity of the area may then be classified based on at least the fit.
Abstract translation: 本公开的方面通常涉及确定对象的镜面反射度。 作为示例，可以选择几何的对象或区域。 可以捕获包括几何区域的一组图像。 可以对这组图像进行滤波以去除不能显示几何图形区域的图像，例如，如果该区域处于阴影或被另一个对象遮挡的图像。 为每个图像确定该区域的一组强度值。 至少基于在拍摄特定图像时捕获特定图像的相机的方向来确定每个图像的一组角度值。 平均强度和角度值集合配对并适合曲线。 该区域的镜面反射度可以至少基于拟合来分类。
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