An image processing apparatus for determining a depth of a pixel of a reference image of a plurality of images representing a visual scene relative to a plurality of locations, the plurality of locations defining a two-dimensional grid with rows and columns, the location of the reference image being associated with a reference row and a reference column of the grid, the image processing apparatus comprising: a depth determiner configured to determine a first depth estimate on the basis of the reference image and a first subset of the plurality of images for determining the depth of the pixel of the reference image, wherein the images of the first subset are associated with locations being associated with at least one row of the grid different than the reference row and with at least one column of the grid different than the reference column, wherein the depth determiner is further configured to determine a second depth estimate on the basis of the reference image and a second subset of the plurality of images, wherein the images of the second subset of the plurality of images are associated with locations being associated with the reference row, and/or to determine a third depth estimate on the basis of the reference image and a third subset of the plurality of images, wherein the images of the third subset of the plurality of images are associated with locations being associated with the reference column, wherein the image processing apparatus further comprises a confidence value determiner, wherein the confidence value determiner is configured to determine a respective confidence value associated with the first depth estimate, the second depth estimate and/or the third depth estimate; wherein the confidence value determiner is configured to determine the confidence value for the first depth estimate, the second depth estimate and/or the third depth estimate on the basis of a structure tensor defined by the first subset, the second subset and the third subset of the plurality of images, respectively; wherein the confidence value determiner is configured to exclude a depth estimate from processing on the basis of a filter K defined by the equation: K d = e − d 2 2 π b, where d denotes the disparity of the pixel and b denotes the baseline defined by the reference image and the first subset of the plurality of images, wherein the depth determiner is further configured to combine the first depth estimate, the second depth estimate and/or the third depth estimate for determining the depth of the pixel of the reference image. a depth determiner configured to determine a first depth estimate on the basis of the reference image and a first subset of the plurality of images for determining the depth of the pixel of the reference image, wherein the images of the first subset are associated with locations being associated with at least one row of the grid different than the reference row and with at least one column of the grid different than the reference column, wherein the depth determiner is further configured to determine a second depth estimate on the basis of the reference image and a second subset of the plurality of images, wherein the images of the second subset of the plurality of images are associated with locations being associated with the reference row, and/or to determine a third depth estimate on the basis of the reference image and a third subset of the plurality of images, wherein the images of the third subset of the plurality of images are associated with locations being associated with the reference column, wherein the image processing apparatus further comprises a confidence value determiner, wherein the confidence value determiner is configured to determine a respective confidence value associated with the first depth estimate, the second depth estimate and/or the third depth estimate; wherein the confidence value determiner is configured to determine the confidence value for the first depth estimate, the second depth estimate and/or the third depth estimate on the basis of a structure tensor defined by the first subset, the second subset and the third subset of the plurality of images, respectively; wherein the confidence value determiner is configured to exclude a depth estimate from processing on the basis of a filter K defined by the equation: K d = e − d 2 2 π b, where d denotes the disparity of the pixel and b denotes the baseline defined by the reference image and the first subset of the plurality of images, wherein the depth determiner is further configured to combine the first depth estimate, the second depth estimate and/or the third depth estimate for determining the depth of the pixel of the reference image. where d denotes the disparity of the pixel and b denotes the baseline defined by the reference image and the first subset of the plurality of images, wherein the depth determiner is further configured to combine the first depth estimate, the second depth estimate and/or the third depth estimate for determining the depth of the pixel of the reference image.