Abstract: Systems and techniques for propagating spot healing edits from a source image to a target image include receiving a source image depicting a face with a healing region and a target image depicting the face. The face is detected in the source image including detecting facial feature points in the source image. The face is identified in the target image including detecting facial feature points in the target image. Facial feature point correspondence is determined between the facial feature points of the source image in the facial feature points of the target image. Region correspondence is determined between regions of the source image and regions of the target image using the facial feature point correspondence. The healing region of the face in the source image is transformed to a corresponding region of the face in the target image using the region correspondence.

Abstract: Systems and techniques for propagating spot healing edits from a source image to a target image include receiving a source image depicting a face with a healing region and a target image depicting the face. The face is detected in the source image including detecting facial feature points in the source image. The face is identified in the target image including detecting facial feature points in the target image. Facial feature point correspondence is determined between the facial feature points of the source image in the facial feature points of the target image. Region correspondence is determined between regions of the source image and regions of the target image using the facial feature point correspondence. The healing region of the face in the source image is transformed to a corresponding region of the face in the target image using the region correspondence.

Abstract: Photograph organization based on facial recognition is described. In one or more embodiments, a photograph organization module obtains multiple photographs having images of faces and recognizes the faces in the multiple photographs. The module builds a population by attempting to distinguish individual persons among the faces in the multiple photographs, with each person of the population corresponding to a group of multiple groups. After a first pass through the faces, the population includes a number of duplicative persons. With a second pass, the photograph organization module reduces the number of duplicative persons in the population by merging two or more groups of the multiple groups to produce a reduced number of groups. The merging is performed based on comparisons of the faces corresponding to the two or more groups. The multiple photographs are organized based on the reduced number of groups. Organization can include tagging or displaying grouped photographs.

Abstract: Photograph organization based on facial recognition is described. In one or more embodiments, a photograph organization module obtains multiple photographs having images of faces and recognizes the faces in the multiple photographs. The module builds a population by attempting to distinguish individual persons among the faces in the multiple photographs, with each person of the population corresponding to a group of multiple groups. After a first pass through the faces, the population includes a number of duplicative persons. With a second pass, the photograph organization module reduces the number of duplicative persons in the population by merging two or more groups of the multiple groups to produce a reduced number of groups. The merging is performed based on comparisons of the faces corresponding to the two or more groups. The multiple photographs are organized based on the reduced number of groups. Organization can include tagging or displaying grouped photographs.