Abstract: A computer-implemented method is for generating a non-occluded image from images that are captured at multiple locations on a plane region parallel to a surface of a target object. Each of the images includes the target object and an occluding object. The images include first and second images. The computer-implemented method includes performing a feature detection on the first image to obtain keypoints in the first image, aligning the first image with a reference image using the obtained keypoints in the first image and keypoints in the reference image, performing the feature detection on the second image to obtain keypoints in the second image, aligning the second image with the reference image using the obtained keypoints in the second image and keypoints in the reference image, and performing a pixel fusion on pixels of the aligned first image and pixels of the aligned second image to generate a fusion image.

Abstract: Facial recognition method comprises generating an average three-dimensional model from a series of two-dimensional, consecutive, captured video frames and rotating that three-dimensional model to a frontal view. The three-dimensional model may be reduced to a two-dimensional model in order to create a mean reference map. Next, the method includes accessing a facial database to compare the mean reference map to a series of previously-stored reference maps, one for each individual in the database, each of the previously-stored reference maps including a set of previously-stored reference points. Finally, an individual whose previously-stored reference map most closely matches the mean reference map is identified as a match.

Abstract: There is disclosed methods, computing devices, and computer-readable media for printing and encoding RFID (radio frequency identification) labels. An RFID label document conforming to the Portable Document Format (PDF) is retrieved, the RFID label document including printable content and RFID encoding data embedded as metadata. The RFID encoding data is extracted from the RFID label document. Printable content of the RFID label document is displayed in a PDF viewer application. A print driver called by the PDF viewer application converts the printable content of the RFID label document into printer control language. The previously extracted RFID encoding data is incorporated into the printer control language, and the printer control language with incorporated RFID encoding data is transmitted to an RFID label printer.

Abstract: Facial recognition method comprises generating an average three-dimensional model from a series of two-dimensional, consecutive, captured video frames and rotating that three-dimensional model to a frontal view. The three-dimensional model may be reduced to a two-dimensional model in order to create a mean reference map. Next, the method includes accessing a facial database to compare the mean reference map to a series of previously-stored reference maps, one for each individual in the database, each of the previously-stored reference maps including a set of previously-stored reference points. Finally, an individual whose previously-stored reference map most closely matches the mean reference map is identified as a match.

Abstract: Facial recognition method comprises generating an average three-dimensional model from a series of two-dimensional, consecutive, captured video frames and rotating that three-dimensional model to a frontal view. The three-dimensional model may be reduced to a two-dimensional model in order to create a mean reference map. Next, the method includes accessing a facial database to compare the mean reference map to a series of previously-stored reference maps, one for each individual in the database, each of the previously-stored reference maps including a set of previously-stored reference points. Finally, an individual whose previously-stored reference map most closely matches the mean reference map is identified as a match.

Abstract: A system for rendering and outputting a non-standard colorant comprises a print driver for accepting identification of a document for output via a print operation, accepting identification of overlay data for use in the print operation, converting the overlay data into grayscale data, and generating a page description language document including data from the document divided into standard colorspace channels and an overlay colorspace channel, the overlay channels made up of the grayscale data and identified by a colorspace keyword; and a multifunction peripheral device for rendering the standard channels in standard buffers as directed by the page description language document, identifying the overlay channels using the color name keyword within the page description language document, rendering the overlay channel in an overlay buffer, and completing the print operation by outputting the contents of the standard buffers using standard colorants and the overlay buffer using an overlay colorant.

Abstract: Facial recognition method comprises generating an average three-dimensional model from a series of two-dimensional, consecutive, captured video frames and rotating that three-dimensional model to a frontal view. The three-dimensional model may be reduced to a two-dimensional model in order to create a mean reference map. Next, the method includes accessing a facial database to compare the mean reference map to a series of previously-stored reference maps, one for each individual in the database, each of the previously-stored reference maps including a set of previously-stored reference points. Finally, an individual whose previously-stored reference map most closely matches the mean reference map is identified as a match.

Abstract: There is disclosed methods, computing devices, and computer-readable media for printing and encoding RFID (radio frequency identification) labels. An RFID label document conforming to the Portable Document Format (PDF) is retrieved, the RFID label document including printable content and RFID encoding data embedded as metadata. The RFID encoding data is extracted from the RFID label document. Printable content of the RFID label document is displayed in a PDF viewer application. A print driver called by the PDF viewer application converts the printable content of the RFID label document into printer control language. The previously extracted RFID encoding data is incorporated into the printer control language, and the printer control language with incorporated RFID encoding data is transmitted to an RFID label printer.

Abstract: A system for rendering and outputting a non-standard colorant comprises a print driver for accepting identification of a document for output via a print operation, accepting identification of overlay data for use in the print operation, converting the overlay data into grayscale data, and generating a page description language document including data from the document divided into standard colorspace channels and an overlay colorspace channel, the overlay channels made up of the grayscale data and identified by a colorspace keyword; and a multifunction peripheral device for rendering the standard channels in standard buffers as directed by the page description language document, identifying the overlay channels using the color name keyword within the page description language document, rendering the overlay channel in an overlay buffer, and completing the print operation by outputting the contents of the standard buffers using standard colorants and the overlay buffer using an overlay colorant.

Abstract: The subject application is directed to a system and method for transparent object rendering. An electronic document, inclusive of a plurality of objects, is first received. The electronic document is then parsed so as to generate a transparency table. The generated table includes entries corresponding to transparency characteristics of each of the objects. Each object of the received electronic document is then processed in accordance with a corresponding transparency table entry. The system further comprises means adapted for generating a scan-line representation of each of the plurality of objects, the scan-line representation including a scan-line corresponding to an associated backdrop and a scan-line corresponding to associated pixel data. The received electronic document is thereby rendered so as to generate a rendered document.

Abstract: The subject application is directed to a system and method for device-specific image manipulation. First, output device capability data corresponding to capabilities of available document output devices is stored in associated memory. Electronic document data having image data corresponding to a plurality of sub-images is then received. Device selection data is then received corresponding to a selected document output device. Capability data representing the output capabilities of the selected device is then retrieved. Image characteristic data is then determined and tested relative to the device output capability data. Selected sub-images are then merged into a single image and the image is classified in accordance with the image characteristic data. Resolution and colorant reduction are then determined in accordance with the testing output.

Abstract: The subject application is directed to a system and method for transparent object rendering. An electronic document, inclusive of a plurality of objects, is first received. The electronic document is then parsed so as to generate a transparency table. The generated table includes entries corresponding to transparency characteristics of each of the objects. Each object of the received electronic document is then processed in accordance with a corresponding transparency table entry. The system further comprises means adapted for generating a scan-line representation of each of the plurality of objects, the scan-line representation including a scan-line corresponding to an associated backdrop and a scan-line corresponding to associated pixel data. The received electronic document is thereby rendered so as to generate a rendered document.

Abstract: A low complexity apparatus (100) and method (200) for variable color saturation, performed in combination with RGB to YUV color space conversion, is used to direct input signal noise away from a luminance channel, to which the human eye is highly sensitive, and into chrominance channels. The apparatus (100) is adapted to perform color conversion and variable color saturation of input primary color signals red, green and blue to produce variable chrominance signals and luminance invariance. The apparatus includes a luminance composition module (105) dependent on non-varying luminance composition coefficients. A first chrominance composition module (110) is dependent on the non-varying luminance composition coefficients and includes a first variable saturation coefficient that is multiplied by the difference between low pass filtered red and green primary color signals.

Abstract: A method and a color correction circuit (2) for color correcting a digital color sampled signal. The color correction circuit (2) has three color input channel processing circuits (31,32,33) each of the color input channel processing circuits (31,32,33) has an adder (34) with a corrected color channel output ? a first multiplied input, a second multiplied input, a third multiplied input and an uncorrected color channel input providing for direct coupling the adder to an output of a color image sensor. The processing circuits (31,32,33) have a Low Pass Filter (35,39,40) with a filter input coupled to the uncorrected color channel input. The processing circuits (31,32,33) each also have input channel multipliers (36,42,46) and two further multipliers all having an output coupled to inputs of a respective adder (34,41,45).

Abstract: A color correction circuit (2) having three color input channel processing circuits (31, 32, 33) each comprising an adder (34) with a corrected color channel output and an uncorrected color channel input. Each of the processing circuits (31, 32, 33) has a respective Low Pass Filter (35, 39, 40) having a filter input coupled to the uncorrected color channel input. The processing circuits (31, 32, 33) also have respective input channel multipliers (36, 42, 46) and two further multipliers all having an output coupled to inputs of a respective adder (34, 41, 45).