Method and apparatus for estimating depth of unfocused plenoptic data
Methods and apparatus for estimating a depth of unfocused plenoptic data are suggested. The method includes: determining a level of homogeneity of micro-lens images of unfocused plenoptic data; determining pixels of the micro-lens images of the unfocused plenoptic unfocused plenoptic data which either have disparities equal to zero or belong to homogeneous areas as a function of the calculated level of homogeneity of the micro-lens images of the unfocused plenoptic data; and estimating the depth of the unfocused plenoptic data by a disparity estimation without considering the determined pixels. With the disclosure, by pre-processing the raw data, it can prevent any disparity estimation method to spend time on estimating disparities for: (i) pixels that are in focus, (ii) pixels that belong to homogenous areas of the scene.
1. A method for calculating a depth of unfocused plenoptic data, comprising:
determining a level of homogeneity of micro-lens images of unfocused plenoptic data;
determining pixels of the micro-lens images of the unfocused plenoptic data which either have disparities equal to zero or belong to homogeneous areas as a function of the determined level of homogeneity of the micro-lens images of the unfocused plenoptic data; and
obtaining the depth of the unfocused plenoptic data by using pixels of the micro-lens images of the unfocused plenoptic data excluding the determined pixels.
2. The method according to claim 1 , wherein the level of the homogeneity of microlens images is determined by calculating a measure of homogeneity from each microlens image, and assigning the calculated metric to all of the pixels of the corresponding microlens image.
3. The method according to claim 1 , wherein the level of the homogeneity of microlens images is determined by calculating standard deviations of the pixels in that microlens image on three color channels, and assigning the calculated metric to all of the pixels of the corresponding microlens image.
4. The method according to claim 1 , wherein the level of the homogeneity of microlens images is determined from a matrix of views of the unfocused plenoptic data to represent the light field of the views, by calculating a measure of homogeneity of the corresponding pixels of each microlens image on the plurality of views in the matrix of views on three color channels.
5. The method according to claim 4 , wherein the matrix of view is determined by:
calculating from the unfocused plenoptic data a position of a center of each micro-lens of a plenoptic camera capturing the unfocused plenoptic data; and
demultiplexing for all angular coordiantes (u,v) the corresponding view (u,v) of the unfocused plenoptic data by extracting from every microlens image the pixel at the spatial coordinate (u,v) with respect to the center of every micro-lens image.
6. The method according to claim 1 , wherein the level of the homogeneity of microlens images is determined by calculating a measure of homogeneity considering the corresponding pixels for each microlens image in the matrix of views, and assigning the calculated metric to all of the pixels of the corresponding pixels for each microlens image.
7. The method according to claim 5 , wherein the pixels are determined by thresholding the values in the determined homogeneity image.
8. The method according to claim 1 , wherein the pixels are determined by thresholding the values in the determined matrix of metric views.
9. An apparatus for calculating a depth of unfocused plenoptic data, comprising:
a first determining unit for determining a level of homogeneity of micro-lens images of unfocused plenoptic data;
a second determining unit for determining pixels of the micro-lens images of the unfocused plenoptic data which either have disparities equal to zero or belong to homogeneous areas as a function of the calculated level of homogeneity of the micro-lens images of the unfocused plenoptic data; and
a unit for obtaining the depth of the unfocused plenoptic data by using pixels of the micro-lens images of the unfocused plenoptic data excluding the determined pixels.
10. The apparatus according to claim 9 , wherein the first determining unit is configured to determine the level of the homogeneity by calculating a measure of homogeneity from each microlens image, and assigning the calculated metric to all of the pixels of the corresponding microlens.
11. The apparatus according to claim 10 , wherein the first determining unit is configured to determine the level of the homogeneity of microlens images from a matrix of views of the unfocused plenoptic data to represent the light field of the views, by calculating a measure of homogeneity of the corresponding pixels of each microlens image on the plurality of views in the matrix of views on three color channels.
12. The apparatus according to claim 11 , wherein the first determining unit is configured to determine the matrix of views by:
calculating from the unfocused plenoptic data a position of a center of each micro-lens of a plenoptic camera capturing the unfocused plenoptic data; and
demultiplexing for all angular coordinates (u,v) the corresponding view (u,v) of the unfocused plenoptic data by extracting from every microlens image the pixel at the spatial coordinate (u,v) with respect to the center of every micro-lens image.
13. The apparatus according to claim 12 , wherein the second determining unit is configured to determine pixels by thresholding the determined matrix of metrics.
14. Computer program comprising program code instructions executable by a processor for implementing the steps of the method according to claim 1 .
15. Computer program product which is stored on a non-transitory computer readable medium and comprises program code instructions executable by a processor for implementing the steps of the method according to claim 1 .