Abstract: A computer-controlled system determines attributes of a frexel, an area of human skin, and applies a modifying agent (RMA) at the pixel level, typically to make the skin appear more youthful and so more attractive. The system scans the frexel, identifies unattractive attributes, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities such as bumps and wrinkles. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.

Abstract: A computer-controlled system determines attributes of a frexel, an area of human skin, and applies a modifying agent (RMA) at the pixel level, typically to make the skin appear more youthful and so more attractive. The system scans the frexel, identifies unattractive attributes, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities such as bumps and wrinkles. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.

Abstract: A computer-controlled system determines attributes of a frexel, an area of human skin, and applies a modifying agent (RMA) at the pixel level, typically to make the skin appear more youthful and so more attractive. The system scans the frexel, identifies unattractive attributes, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities such as bumps and wrinkles. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an image of the area of the mouth. Identifying a feature of interest within the image. Determining an actual reflectance and an actual topology of the feature of interest. Determining a desired reflectance and a desired topology of the feature of interest. Calculating an amount of DCA to be applied to a portion of the feature of interest based on comparing the actual reflectance to the desired reflectance and the actual topology to the desired topology. Causing the calculated amount of DCA to be applied to the portion of the feature of interest.

Abstract: A method for guiding a user to manually apply cosmetics by overlaying graphical indicators on a real-time image of the user, the method including receiving a real-time image of the area of skin. Generating a registration layer containing a mapping between features of the real-time image and a graphical model of the area of skin. Presenting, for display to a user, a control layer overlaid on the real-time image according to the registration layer, the control layer including at least one indicator of a location on the area of skin where a reflectance modifying agent (RMA) should be applied. Determining, based on the real-time image, that the RMA has been applied to the location on the area of skin. In response to determining that the RMA has been applied to the location on the area of skin, modifying the at least one indicator included in the control layer.

Abstract: A method for guiding a user to manually apply cosmetics by overlaying graphical indicators on a real-time image of the user, the method including receiving a real-time image of the area of skin. Generating a registration layer containing a mapping between features of the real-time image and a graphical model of the area of skin. Presenting, for display to a user, a control layer overlaid on the real-time image according to the registration layer, the control layer including at least one indicator of a location on the area of skin where a reflectance modifying agent (RMA) should be applied. Determining, based on the real-time image, that the RMA has been applied to the location on the area of skin. In response to determining that the RMA has been applied to the location on the area of skin, modifying the at least one indicator included in the control layer.

Abstract: A computer-controlled system determines attributes of a frexel, an area of human skin, and applies an electrostatically charged modifying agent (RMA) at the pixel level, to make the skin appear more attractive. The system scans the frexel, identifies unattractive attributes, charges the RMA with an electrostatic charger, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The charged RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving an image of the area of the mouth. Identifying a feature of interest within the image. Determining an actual reflectance and an actual topology of the feature of interest. Determining a desired reflectance and a desired topology of the feature of interest. Calculating an amount of DCA to be applied to a portion of the feature of interest based on comparing the actual reflectance to the desired reflectance and the actual topology to the desired topology. Causing the calculated amount of DCA to be applied to the portion of the feature of interest.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: A computer-controlled system determines attributes of a frexel, an area of human skin, and applies a modifying agent (RMA) at the pixel level, typically to make the skin appear more youthful and so more attractive. The system scans the frexel, identifies unattractive attributes, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities such as bumps and wrinkles. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: One or more reflectance modifying agent (RMA) such as a pigmented cosmetic agent is applied selectively and precisely with a controlled spray to human skin according to local skin reflectance or texture attributes. One embodiment uses digital control based on the analysis of camera images. Another embodiment, utilizes a calibrated scanning device comprising a plurality of LEDs and photo diode sensors to correct reflectance readings to compensate for device distance and orientation relative to the skin. Ranges of desired RMA application parameters of high luminance RMA, selectively applied to middle spatial frequency features, at low opacity or application density are each significantly different from conventional cosmetic practice. The ranges are complementary and the use of all three techniques in combination provides a surprisingly effective result which preserves natural beauty while applying a minimum amount of cosmetic agent.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: A computer-controlled system determines attributes of a frexel, an area of human skin, and applies a modifying agent (RMA) at the pixel level, typically to make the skin appear more youthful and so more attractive. The system scans the frexel, identifies unattractive attributes, and applies the RMA, typically with an inkjet printer. The identified attributes relate to reflectance and may refer to features such as irregular-looking light and dark spots, age-spots, scars, and bruises. Identified attributes may also relate to the surface topology of the skin, for more precisely enhancing surface irregularities such as bumps and wrinkles. Feature mapping may be used, for example to make cheeks appear pinker and cheekbones more prominent. The RMA can be applied in agreement with identified patterns, such as adding red to a red frexel, or in opposition, such as adding green or blue to a red frexel, according to idealized models of attractiveness.

Abstract: A method for guiding a user to manually apply cosmetics by overlaying graphical indicators on a real-time image of the user, the method including receiving a real-time image of the area of skin. Generating a registration layer containing a mapping between features of the real-time image and a graphical model of the area of skin. Presenting, for display to a user, a control layer overlaid on the real-time image according to the registration layer, the control layer including at least one indicator of a location on the area of skin where a reflectance modifying agent (RMA) should be applied. Determining, based on the real-time image, that the RMA has been applied to the location on the area of skin. In response to determining that the RMA has been applied to the location on the area of skin, modifying the at least one indicator included in the control layer.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: A system and method that scans areas of a human body to identify unattractive characteristics and make cosmetic enhancements is modified for medical monitoring and optionally for treatment. A 3-D model of the exterior surface of the human body is created, and the scanned data is analyzed by characteristics of reflectance and surface topology to identify unhealthy characteristics. Because people will use a cosmetics system widely and frequently, base lines of patients' conditions can be created through frequent monitoring over a long time period, so that potentially dangerous changes from the base line can identified quickly and reported on. When appropriate, precise applications of medications to treat affected areas may be made automatically. Controlled and precisely directed dosages of medications may be applied to reduce the risk of undesirable side effects. Medicines may also be applied over a large area of skin and during a long period of time to achieve desired treatments.