Abstract: A system and method are capable of performing make-up virtual images obtained with portable devices with a digital camera. The method automatically detects points of interest (eyes, mouth, eyebrow, face contour) of the user's face image allowing the user to virtually apply make-up using fingers on a touch screen. Another algorithm was created to avoid “blurring” of make-up in the application from the user's fingers. The system allows the creation of virtual make-up faces with high accuracy. To carry out the virtual make-up, methods were created for automatically detecting points of interest in the facial image and enforcing transparency in the image to simulate the make-up and restrict the make-up application area within the region where the points of interest are found. The system allows testing cosmetics application in facial images to aid choosing colors of cosmetics before actually applying them.

Abstract: A method for restoring an image of a blurred barcode includes capturing the image, restoring the image by selecting one Optical Transfer Function (OTF) in a database and performing deconvolution on the image, decoding the barcode in the restored image to return numbers represented by the barcode, and displaying the returned numbers.

Abstract: A method for automatic food recognition by using portable devices equipped with digital cameras. With this system, it is possible to identify a previously established food menu. To this purpose, a semi-automated method of segmentation is applied to delineate the regions in which each type of food in an image of a plate of food, captured by a user. Pattern recognition techniques are used in images, integrated into a system whose goal is to label each type of food contained in the photo of a plate of food. No type of preprocessing is performed to correct deficiencies in capturing the image, just using the auto-focus component present in the portable device to capture a clear image.

Abstract: A system and method are capable of performing make-up virtual images obtained with portable devices with a digital camera. The method automatically detects points of interest (eyes, mouth, eyebrow, face contour) of the user's face image allowing the user to virtually apply make-up using fingers on a touch screen. Another algorithm was created to avoid “blurring” of make-up in the application from the user's fingers. The system allows the creation of virtual make-up faces with high accuracy. To carry out the virtual make-up, methods were created for automatically detecting points of interest in the facial image and enforcing transparency in the image to simulate the make-up and restrict the make-up application area within the region where the points of interest are found. The system allows testing cosmetics application in facial images to aid choosing colors of cosmetics before actually applying them.

Abstract: The present invention relates to the field of human interaction with mobile devices, more specifically the interaction done by the automatic recognition of barcode images captured by the camera integrated in portable devices, particularly mobile phones, smartphones, Personal Digital Assistants PDAs, portable digital camera, among others. The present patent application relates to a method to effect the reading of barcodes by means of portable devices with digital cameras. The present invention provides a method to restore barcode images damaged by the blurring effect due to the lack of focus of the captured images with low cost cameras with fixed focus. The proposed method treats the image of barcodes in order to enable correct decoding of its content.

Abstract: The present invention relates to a method for automatic food recognition by means of portable devices equipped with digital cameras. With this system, it is possible to identify a previously established food menu. To this purpose, a semi-automated method of segmentation is applied to delineate the regions in which each type of food in an image of a plate of food, captured by a user. Pattern recognition techniques are used in images, integrated into a system whose goal is to label each type of food contained in the photo of a plate of food. No type of preprocessing is performed to correct deficiencies in capturing the image, just using the auto-focus component present in the portable device to capture a clear image.