Abstract: The present disclosure provides virtual replacement of the texture of an apparel with a different texture, also taking care of the wrinkles, body shape etc. The apparel worn by the user is identified/localized in all the frames of a video file, and replaced with a pre-identified texture from the catalogue. Multiple histograms are calculated to localize the region of the apparel using Correlation coefficient. The variation in light intensity is used to capture the wrinkles and folds etc on the apparel.

Abstract: The present disclosure provides virtual replacement of the texture of an apparel with a different texture, also taking care of the wrinkles, body shape etc. The apparel worn by the user is identified/localized in all the frames of a video file, and replaced with a pre-identified texture from the catalogue. Multiple histograms are calculated to localize the region of the apparel using Correlation coefficient. The variation in light intensity is used to capture the wrinkles and folds etc on the apparel.

Abstract: A method preprocessing scheme that improves classification accuracy of a face recognition system comprises identifying a plurality of edges of an image. The method further comprises step of identifying a plurality of discontinuities in the plurality of edges of the image. Furthermore, the method also comprises generating contiguous outline for the image. The last step of the method comprises filling a background of the image with at least one color.

Abstract: A method for detection of eye comprises computing an average inter-ocular distance for a given face. The method further comprises, detecting of a skin region of the given face. Furthermore, the method comprises identifying a search region for the given face. The method may also comprise computing an actual inter-ocular distance and computing eye centers of the given face.

Abstract: A method for detection of eye comprises computing an average inter-ocular distance for a given face. The method further comprises, detecting of a skin region of the given face. Furthermore, the method comprises identifying a search region for the given face. The method may also comprise computing an actual inter-ocular distance and computing eye centers of the given face.

Abstract: A method preprocessing scheme that improves classification accuracy of a face recognition system comprises identifying a plurality of edges of an image. The method further comprises step of identifying a plurality of discontinuities in the plurality of edges of the image. Furthermore, the method also comprises generating contiguous outline for the image. The last step of the method comprises filling a background of the image with at least one color.

Abstract: The SPD according to exemplary embodiments of the invention may interface with different buses and computer system architectures to enable deployment in a wide variety of devices. Heterogeneous network (300) using SPDs in various computing devices. Desktop computers (302), mobile systems (such as cell phones) (304), mainframes (306), workstations (308), PDA systems (310) and other devices may be operatively connected to a network (such as the Internet or an Intranet). These devices may include SPDs (312) to enable web services to be provided among these devices. They may also communicate with some devices that do not include SPDs (such as the PC Desktop System (302) and Mobile System (304) in FIG. 3). These devices would require the use of a SOAP software toolkit for the particular platform, because they do not include an SPD. The SPDs could have different designs in different systems, while they share a common SOAP engine to provide a consistent and efficient SOAP processing capability.