Abstract: Technologies for grouping images, and ranking the images and the groupings, based on entities shown in the images. Images may be grouped based on faces shown in the images. Different images with faces that indicate the same entity (e.g., Adam) may be automatically grouped together. Different images with faces that indicate the same multiple entities (e.g., the people in my family) may also be automatically grouped together. Such automatic grouping may be based on facial recognition technologies. Further, images and groups of images may be automatically ranked based on the faces shown and entities represented. Such rankings may also be influenced by adjacent data that indicates family and friends and the like, and that can be used to identify such entities in the images.

Abstract: A method of producing multiple batches of objects by stereolithography, includes the steps of: (a) dispensing an initial or subsequent batch of dual cure resin into a stereolithography apparatus, the resin including a light polymerizable component and a heat polymerizable component; (b) producing an intermediate object by light polymerization of the resin in the apparatus, wherein the intermediate object retains excess resin on a surface thereof; then (c) separating excess resin from the intermediate object; (d) blending the excess resin with additional dual cure resin to produce a subsequent batch of dual cure resin; (e) repeating steps (a) through (c), and optionally repeating step (d), to produce additional object(s); and (f) baking the objects, together or separately, to produce multiple batches of objects.

Abstract: Technologies for grouping images, and ranking the images and the groupings, based on entities shown in the images. Images may be grouped based on faces shown in the images. Different images with faces that indicate the same entity (e.g., Adam) may be automatically grouped together. Different images with faces that indicate the same multiple entities (e.g., the people in my family) may also be automatically grouped together. Such automatic grouping may be based on facial recognition technologies. Further, images and groups of images may be automatically ranked based on the faces shown and entities represented. Such rankings may also be influenced by adjacent data that indicates family and friends and the like, and that can be used to identify such entities in the images.

Abstract: Technologies for grouping images, and ranking the images and the groupings, based on entities shown in the images. Images may be grouped based on faces shown in the images. Different images with faces that indicate the same entity (e.g., Adam) may be automatically grouped together. Different images with faces that indicate the same multiple entities (e.g., the people in my family) may also be automatically grouped together. Such automatic grouping may be based on facial recognition technologies. Further, images and groups of images may be automatically ranked based on the faces shown and entities represented. Such rankings may also be influenced by adjacent data that indicates family and friends and the like, and that can be used to identify such entities in the images.

Abstract: A method of producing multiple batches of objects by stereolithography, includes the steps of: (a) dispensing an initial or subsequent batch of dual cure resin into a stereolithography apparatus, the resin including a light polymerizable component and a heat polymerizable component; (b) producing an intermediate object by light polymerization of the resin in the apparatus, wherein the intermediate object retains excess resin on a surface thereof; then (c) separating excess resin from the intermediate object; (d) blending the excess resin with additional dual cure resin to produce a subsequent batch of dual cure resin; (e) repeating steps (a) through (c), and optionally repeating step (d), to produce additional object(s); and (f) baking the objects, together or separately, to produce multiple batches of objects.

Abstract: A helmet liner includes: (a) an open lattice body portion comprised of a polymer, the body portion having opposite face portions and a circumferential side portion; (b) a helmet contact surface portion formed on one of the face portions; and (c) a skin contact portion formed on the other of the face portions, the skin contact portion configured with the lattice body portion so air can circulate through both the body portion and the skin contact portion.

Abstract: A helmet liner includes: (a) an open lattice body portion comprised of a polymer, the body portion having opposite face portions and a circumferential side portion; (b) a helmet contact surface portion formed on one of the face portions; and (c) a skin contact portion formed on the other of the face portions, the skin contact portion configured with the lattice body portion so air can circulate through both the body portion and the skin contact portion.

Abstract: Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutral. An overall quality score for the face may also be determined and provided based on the aforementioned analysis as well as whether or not the face is near an edge of the image or cut-off in the image. Finally, a face signature may be determined that uniquely identifies the face, at least within the scope of the analyzed features. Such face signatures may be used to detect a similar face in other images.

Abstract: A method of producing multiple batches of objects by stereolithography, includes the steps of: (a) dispensing an initial or subsequent batch of dual cure resin into a stereolithography apparatus (11), the resin including a light polymerizable component and a heat polymerizable component; (b) producing an intermediate object by light polymerization of the resin in the apparatus (12), wherein the intermediate object retains excess resin on a surface thereof; then (c) separating excess resin from the intermediate object (13); (d) blending the excess resin with additional dual cure resin to produce a subsequent batch of dual cure resin (15); (e) repeating steps (a) through (c), and optionally repeating step (d), to produce additional object(s); and (f) baking the objects, together or separately, to produce multiple batches of objects (14).

Abstract: A method of producing multiple batches of objects by stereolithography, includes the steps of: (a) dispensing an initial or subsequent batch of dual cure resin into a stereolithography apparatus (11), the resin including a light polymerizable component and a heat polymerizable component; (b) producing an intermediate object by light polymerization of the resin in the apparatus (12), wherein the intermediate object retains excess resin on a surface thereof; then (c) separating excess resin from the intermediate object (13); (d) blending the excess resin with additional dual cure resin to produce a subsequent batch of dual cure resin (15); (e) repeating steps (a) through (c), and optionally repeating step (d), to produce additional object(s); and (f) baking the objects, together or separately, to produce multiple batches of objects (14).

Abstract: Technologies for grouping images, and ranking the images and the groupings, based on entities shown in the images. Images may be grouped based on faces shown in the images. Different images with faces that indicate the same entity (e.g., Adam) may be automatically grouped together. Different images with faces that indicate the same multiple entities (e.g., the people in my family) may also be automatically grouped together. Such automatic grouping may be based on facial recognition technologies. Further, images and groups of images may be automatically ranked based on the faces shown and entities represented. Such rankings may also be influenced by adjacent data that indicates family and friends and the like, and that can be used to identify such entities in the images.

Abstract: A helmet liner includes: (a) an open lattice body portion comprised of a polymer, the body portion having opposite face portions and a circumferential side portion; (b) a helmet contact surface portion formed on one of the face portions; and (c) a skin contact portion formed on the other of the face portions, the skin contact portion configured with the lattice body portion so air can circulate through both the body portion and the skin contact portion.

Abstract: Technologies for grouping images, and ranking the images and the groupings, based on entities shown in the images. Images may be grouped based on faces shown in the images. Different images with faces that indicate the same entity (e.g., Adam) may be automatically grouped together. Different images with faces that indicate the same multiple entities (e.g., the people in my family) may also be automatically grouped together. Such automatic grouping may be based on facial recognition technologies. Further, images and groups of images may be automatically ranked based on the faces shown and entities represented. Such rankings may also be influenced by adjacent data that indicates family and friends and the like, and that can be used to identify such entities in the images.

Abstract: Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutral. An overall quality score for the face may also be determined and provided based on the aforementioned analysis as well as whether or not the face is near an edge of the image or cut-off in the image. Finally, a face signature may be determined that uniquely identifies the face, at least within the scope of the analyzed features. Such face signatures may be used to detect a similar face in other images.

Abstract: Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutral. An overall quality score for the face may also be determined and provided based on the aforementioned analysis as well as whether or not the face is near an edge of the image or cut-off in the image. Finally, a face signature may be determined that uniquely identifies the face, at least within the scope of the analyzed features. Such face signatures may be used to detect a similar face in other images.

Abstract: Technologies for modifying a digital image to take on the appearance of an antique image. Such modifying is typically based on generating and rendering various effects that are blended with the input image, such as color transformation, simulating film grain, dust, fibers, tears, and vintage borders. Such effects may be rendered to various layers that are overlaid on a color transformed image resulting in what appears to be an antique image.

Abstract: Technologies for grouping images, and ranking the images and the groupings, based on entities shown in the images. Images may be grouped based on faces shown in the images. Different images with faces that indicate the same entity (e.g., Adam) may be automatically grouped together. Different images with faces that indicate the same multiple entities (e.g., the people in my family) may also be automatically grouped together. Such automatic grouping may be based on facial recognition technologies. Further, images and groups of images may be automatically ranked based on the faces shown and entities represented. Such rankings may also be influenced by adjacent data that indicates family and friends and the like, and that can be used to identify such entities in the images.

Abstract: Technologies for grouping images, and ranking the images and the groupings, based on entities shown in the images. Images may be grouped based on faces shown in the images. Different images with faces that indicate the same entity (e.g., Adam) may be automatically grouped together. Different images with faces that indicate the same multiple entities (e.g., the people in my family) may also be automatically grouped together. Such automatic grouping may be based on facial recognition technologies. Further, images and groups of images may be automatically ranked based on the faces shown and entities represented. Such rankings may also be influenced by adjacent data that indicates family and friends and the like, and that can be used to identify such entities in the images.

Abstract: Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutral. An overall quality score for the face may also be determined and provided based on the aforementioned analysis as well as whether or not the face is near an edge of the image or cut-off in the image. Finally, a face signature may be determined that uniquely identifies the face, at least within the scope of the analyzed features. Such face signatures may be used to detect a similar face in other images.

Abstract: Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutral. An overall quality score for the face may also be determined and provided based on the aforementioned analysis as well as whether or not the face is near an edge of the image or cut-off in the image. Finally, a face signature may be determined that uniquely identifies the face, at least within the scope of the analyzed features. Such face signatures may be used to detect a similar face in other images.