Abstract: Systems and methods for processing digital image data representing multiple views of an object of interest use a sparse set of digital images along with object of interest profiling to provide a photo gallery for evidence-related workflows. Digital images are related to each other on the basis of common objects of interest represented in the images and their orientations within the views depicted in each image. Object of interest profile datasets, including spatial orientation data, enable efficient tracking of photography sessions in which a set of prescribed views of an object of interest are meant to be captured, as well as object-orientation-based photo gallery navigation. The systems recognize of a set of physical gestures that enable a user to intuitively navigate among digital images depicting different views of an object of interest based on how they were physically related to each other when captured.

Abstract: Systems and methods for processing digital image data representing multiple views of an object of interest use a sparse set of digital images along with object of interest profiling to provide a photo gallery for evidence-related workflows. Digital images are related to each other on the basis of common objects of interest represented in the images and their orientations within the views depicted in each image. Object of interest profile datasets, including spatial orientation data, enable efficient tracking of photography sessions in which a set of prescribed views of an object of interest are meant to be captured, as well as object-orientation-based photo gallery navigation. The systems recognize of a set of physical gestures that enable a user to intuitively navigate among digital images depicting different views of an object of interest based on how they were physically related to each other when captured.