Abstract: A virtual hair extension system is provided. The system includes a memory device having a user image of a user having hair, a display device, and a computer that is operably coupled to the memory device and the display device. The computer has a hair segmentation module and a hair extension blending module. The hair segmentation module generates a binary hair mask based on the user image. The hair extension blending module generates a final modified user image having the hair of the user with a selected hair extension thereon utilizing the user image, the binary hair mask, and a reference image of the selected hair extension. The computer displays the final modified user image having the hair of the user with the selected hair extension thereon on the display device.

Abstract: A facial images retrieval system is provided. The facial images retrieval system is adapted to receive an initial textual description of a facial image to perform an initial facial image search that obtains a plurality of facial images based on the textual description. The facial images retrieval system then receives a selection of the first and second facial images that are relatively close to a desired facial image to perform a further facial image search to obtain another facial image.

Abstract: A computer vision neural network system is provided. The computer vision neural network system includes a computer with a multi-attribute loss module that concatenates first and second normalized feature vector descriptors to generate a master feature vector descriptor that describes attributes and classes of a facial image. The multi-attribute loss module estimates an error distance between the master feature vector descriptor and a plurality of class center vector descriptors. Each class center vector descriptor is a mean of a plurality of master feature vector descriptors associated with a soft-biometric class in a plurality of faces in a plurality of facial images.