Abstract: An electronic device comprises circuitry implementing a depth map enhancer. The depth map enhancer obtains an initial depth map corresponding to a scene and an image of the scene. The depth map enhancer generates a refined depth map corresponding to the scene using an optimizer, the initial depth map and the image. The refined depth map includes estimated depth indicators corresponding to at least a first depth-information region, identified based at least in part on a first criterion, of the initial depth map. Input based on the refined depth map is provided to an image processing application.

Abstract: An electronic device comprises circuitry implementing a depth map enhancer. The depth map enhancer obtains an initial depth map corresponding to a scene and an image of the scene. The depth map enhancer generates a refined depth map corresponding to the scene using an optimizer, the initial depth map and the image. The refined depth map includes estimated depth indicators corresponding to at least a first depth-information region, identified based at least in part on a first criterion, of the initial depth map. Input based on the refined depth map is provided to an image processing application.

Abstract: Systems and methods are provided for depth map estimation using three-dimensional epipolar data structures. The image manipulation application receives image data depicting an image space from a multiple perspectives. The image manipulation application generates at least one three-dimensional epipolar data structure from the image data. The at least one three-dimensional epipolar data structure includes data describing the difference in position of at least one object between the perspectives. The at least one three-dimensional epipolar data structure corresponds to at least one region of the image space. The image manipulation application generates a depth map based on the at least one three-dimensional epipolar data structure.

Abstract: Systems and methods are provided for depth map estimation using normalized displacement of image pairs. In one embodiment, an image manipulation application identifies image pairs from an input image. Each of the image pairs includes an image portion from a first perspective and the image portion from a second perspective. The image manipulation generates displacement vectors for the image pairs. Each of the displacement vectors represents at least one of a horizontal displacement and a vertical displacement of the image portion from the first perspective to the second perspective. The image manipulation application generates normalized displacement vectors corresponding to the displacement vectors. Each of the normalized displacement vectors is generated by transforming a respective orientation of a corresponding one of the displacement vectors to a common reference direction. The image manipulation application generates a depth map based on the normalized displacement vectors.

Abstract: Systems and methods are provided for depth map estimation using normalized displacement of image pairs. In one embodiment, an image manipulation application identifies image pairs from an input image. Each of the image pairs includes an image portion from a first perspective and the image portion from a second perspective. The image manipulation generates displacement vectors for the image pairs. Each of the displacement vectors represents at least one of a horizontal displacement and a vertical displacement of the image portion from the first perspective to the second perspective. The image manipulation application generates normalized displacement vectors corresponding to the displacement vectors. Each of the normalized displacement vectors is generated by transforming a respective orientation of a corresponding one of the displacement vectors to a common reference direction. The image manipulation application generates a depth map based on the normalized displacement vectors.

Abstract: Systems and methods are provided for depth map estimation using three-dimensional epipolar data structures. The image manipulation application receives image data depicting an image space from a multiple perspectives. The image manipulation application generates at least one three-dimensional epipolar data structure from the image data. The at least one three-dimensional epipolar data structure includes data describing the difference in position of at least one object between the perspectives. The at least one three-dimensional epipolar data structure corresponds to at least one region of the image space. The image manipulation application generates a depth map based on the at least one three-dimensional epipolar data structure.