16. The device of claim 13 , wherein the one or more processors are further configured to apply a space partitioning algorithm to a feature descriptor space including target multi-resolution feature descriptors processed at the first scale space resolution to generate a first scale space resolution portion of a tree data structure and apply the space partition algorithm to the feature descriptor space including corresponding target multi-resolution feature descriptors processed at the second scale space resolution to generate a second scale space resolution portion of the tree data structure, wherein the one or more processors are further configured to, when generating the data structure, traverse at least a portion of the tree data structure based on the multi-resolution query feature descriptor to determine a multi-resolution histogram representation of the multi-resolution query feature descriptor.
16. The device of claim 13 , wherein the one or more processors are further configured to apply a space partitioning algorithm to a feature descriptor space including target multi-resolution feature descriptors processed at the first scale space resolution to generate a first scale space resolution portion of a tree data structure and apply the space partition algorithm to the feature descriptor space including corresponding target multi-resolution feature descriptors processed at the second scale space resolution to generate a second scale space resolution portion of the tree data structure, wherein the one or more processors are further configured to, when generating the data structure, traverse at least a portion of the tree data structure based on the multi-resolution query feature descriptor to determine a multi-resolution histogram representation of the multi-resolution query feature descriptor. 17. The device of claim 16 , wherein the one or more processors are further configured to convert the multi-resolution histogram representation of the multi-resolution query feature descriptor into an inverted file.