A method for tracking and analyzing changing skin conditions and displaying such conditions in an RGB image format on a three-dimensional virtual model to facilitate research and consumer communication, the method comprising the steps of: - capturing a plurality of digital spectral images of human skin, each spectral image defining a target; - capturing a plurality of digital RGB images, each RGB image corresponding at least in part to at least one of the spectral images defining a target; - analyzing at least some of the plurality of spectral images to identify within the respective spectral image one or more spectral image datasets, each spectral image dataset defining at least one skin condition; - mapping within the respective spectral image one or more spectral locations for each of the one or more spectral image datasets; - mapping within each RGB image corresponding to the respective spectral image one or more RGB locations corresponding to the respective one or more spectral locations of the each of the one or more spectral image datasets; and - calibrating an RGB dataset corresponding to the spectral image dataset associated with that respective spectral location and mapping it to the RGB location such that the at least one known skin condition defined by said spectral image dataset can be reproduced in RGB format via the corresponding RGB image dataset; characterized in that the method further comprises the steps of: - compiling a database of said plurality of spectral images, said spectral image datasets, said corresponding skin conditions, said spectral locations, said plurality of RGB images, said RGB datasets and said RGB locations; - capturing one or more digital RGB images, each digital image capturing an area of skin of a subject; - analyzing each digital RGB image to locate any predetermined RGB datasets from the database; - mapping the locations of the RGB datasets within each RGB image; and - overlaying the RGB image onto a three-dimensional virtual frame to create a virtual three-dimensional model of the subject showing realistic skin conditions in locations on models corresponding to actual locations on subject. - capturing a plurality of digital spectral images of human skin, each spectral image defining a target; - capturing a plurality of digital RGB images, each RGB image corresponding at least in part to at least one of the spectral images defining a target; - analyzing at least some of the plurality of spectral images to identify within the respective spectral image one or more spectral image datasets, each spectral image dataset defining at least one skin condition; - mapping within the respective spectral image one or more spectral locations for each of the one or more spectral image datasets; - mapping within each RGB image corresponding to the respective spectral image one or more RGB locations corresponding to the respective one or more spectral locations of the each of the one or more spectral image datasets; and - calibrating an RGB dataset corresponding to the spectral image dataset associated with that respective spectral location and mapping it to the RGB location such that the at least one known skin condition defined by said spectral image dataset can be reproduced in RGB format via the corresponding RGB image dataset; - compiling a database of said plurality of spectral images, said spectral image datasets, said corresponding skin conditions, said spectral locations, said plurality of RGB images, said RGB datasets and said RGB locations; - capturing one or more digital RGB images, each digital image capturing an area of skin of a subject; - analyzing each digital RGB image to locate any predetermined RGB datasets from the database; - mapping the locations of the RGB datasets within each RGB image; and - overlaying the RGB image onto a three-dimensional virtual frame to create a virtual three-dimensional model of the subject showing realistic skin conditions in locations on models corresponding to actual locations on subject.