16-07-2015 дата публикации
Номер: US20150198439A1
Принадлежит:
Technologies are generally described for generating depth data based on a spatial light pattern. In some examples, a method of generating depth data includes obtaining an image of one or more objects on which a spatial light pattern is projected, wherein blurring of the spatial light pattern in the image monotonously increases or decreases in a depth direction, calculating a value of a spatial frequency component of the image in a local image area around a pixel of interest, and determining depth data corresponding to the calculated value of the spatial frequency component by utilizing a preset relationship between depths and values of the spatial frequency component. 1. A method to transmit image data for a stereoscopic view , the method comprising:receiving, by a depth data generating unit, an image of one or more objects, wherein the image is a two-dimensional image with a superimposed spatial light pattern;generating, by the depth data generating unit, depth data associated with the image, wherein the depth data is based on at least a degree of blur of the spatial light pattern in a depth direction; andproviding, by the depth data generating unit, the image together with the depth data to enable a stereoscopic view of the image.2. The method of claim 1 , wherein the superimposed spatial light pattern is projected on the one or more objects during capture of the two-dimensional image.3. The method of claim 1 , wherein the superimposed spatial light pattern is a checkboard pattern.4. The method of claim 3 , wherein the checkboard pattern includes black square areas and white square areas arranged alternately both in the vertical direction and in the horizontal direction.5. The method of claim 1 , wherein the degree of blur of the spatial light pattern is determined from spatial frequency components of the spatial light pattern.6. The method of claim 1 , wherein the superimposed spatial light pattern is periodic at a spatial frequency that is higher than spatial ...
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