Abstract: A method for identifying a pore color of at least one skin pore. The method includes obtaining at least one image of a subject, extracting a pore image from the obtained image, in which the extracted pore image identifies a boundary of the at least one skin pore, and superimposing the obtained image and the extracted pore image to identify the pore color within the identified boundary of the at least one skin pore.

Abstract: A method for identifying a pore color of at least one skin pore. The method includes obtaining at least one image of a subject, extracting a pore image from the obtained image, in which the extracted pore image identifies a boundary of the at least one skin pore, and superimposing the obtained image and the extracted pore image to identify the pore color within the identified boundary of the at least one skin pore.

Abstract: Skin analysis systems and methods are described for analyzing user-specific skin data and health data to generate a user-specific skin analysis. User-specific skin data and health data of a user is received by one or more processors, and the health data comprises one or more of: (1) a body water content or amount, (2) an intracellular-to-extracellular water ratio, (3) a body mass index (BMI), (4) a blood marker, (5) a sugar intake level, (6) a heart rate variability, or (7) a heart rate. A skin analysis learning model analyzes the user-specific skin data and health data to generate a user-specific skin analysis.

Abstract: Disclosed is a method of improving the appearance of skin with a low-pH skin care composition that contains hydroxycinnamic acid (HCA) and a vitamin B3 compound in a synergistic combination.

Abstract: A method for reducing the appearance of post-acne marks, lightening dark spots and discoloration, fading post-acne marks faster and/or preventing appearance of new post-acne marks by applying a skin care composition. The skin care composition contains a vitamin B3 compound, hydroxycinnamic acid, and water at a pH of less than 5.0.

Abstract: A method of determining a cosmetic skin attribute of a person is provided. The method includes obtaining a color channel image of a person's skin, analyzing the color channel image with a computer using entropy statistics to obtain an entropy value, and then determining a cosmetic skin attribute for the person based on the entropy value.

Abstract: A method for identifying a dendritic pore is provided. Line and pore images are obtained from a digital image of a subject's skin. These line and pore images are overlaid to identify those pores having at least one line intersecting the pore as dendritic pores.

Abstract: A method of visualizing at least one cosmetic skin attribute of a subject is provided. The method includes obtaining a digital image of the face of a person, defining a plurality of tiles across the image, analyzing each of the defined tiles for the at least one cosmetic skin attribute, assigning a single degree of indicium uniquely to each tile based on the analyzed at least one cosmetic skin attribute of the tile, and displaying at least some of the tiles so that a user can visualize the cosmetic skin attribute. The displayed tiles may be selected to indicate to user a cosmetic skin attribute condition that is better relative to the non-displayed tiles, based on the analyzed skin attribute.

Abstract: A method of determining a cosmetic skin attribute of a person is provided. The method includes obtaining a color channel image of a person's skin, analyzing the color channel image with a computer using entropy statistics to obtain an entropy value, and then determining a cosmetic skin attribute for the person based on the entropy value.

Abstract: A method of determining a cosmetic skin attribute of a person is provided. The method includes obtaining a color channel image of a person's skin, analyzing the color channel image with a computer using entropy statistics to obtain an entropy value, and then determining a cosmetic skin attribute for the person based on the entropy value.

Abstract: A method for identifying a dendritic pore is provided. Line and pore images are obtained from a digital image of a subject's skin. These line and pore images are overlaid to identify those pores having at least one line intersecting the pore as dendritic pores.

Abstract: A method of visualizing at least one cosmetic skin attribute of a subject is provided. The method includes obtaining a digital image of the face of a person, defining a plurality of tiles across the image, analyzing each of the defined tiles for the at least one cosmetic skin attribute, assigning a single degree of indicium uniquely to each tile based on the analyzed at least one cosmetic skin attribute of the tile, and displaying at least some of the tiles so that a user can visualize the cosmetic skin attribute. The displayed tiles may be selected to indicate to user a cosmetic skin attribute condition that is better relative to the non-displayed tiles, based on the analyzed skin attribute.

Abstract: A method of determining a cosmetic skin attribute of a person is provided. The method includes obtaining a color channel image of a person's skin, analyzing the color channel image with a computer using entropy statistics to obtain an entropy value, and then determining a cosmetic skin attribute for the person based on the entropy value.

Abstract: A method for identifying a pore color of at least one skin pore. The method includes obtaining at least one image of a subject, extracting a pore image from the obtained image, in which the extracted pore image identifies a boundary of the at least one skin pore, and superimposing the obtained image and the extracted pore image to identify the pore color within the identified boundary of the at least one skin pore.