Abstract: Low spatial frequencies of an original image and an upscaled filtered image are analyzed. Differences will be observed in the low frequency components of the two images in the general case since the pixel art upscaler filter as a side effect introduces low frequency changes. A modification to images produced by the PAU is applied to attempt to match the brightness of the original images in the low frequency spectrum. From a viewer perspective (e.g., based on typical blurring visual effects), the original image and the modified filtered image will look the same—demonstrating that there is no low frequency brightness creep or resulting increased photosensitivity concerns.

Abstract: Real time compensation of the colorimetry of an image projected on a non-uniform projection surface is disclosed. The projected image is captured and coefficients of a simplified model of the projection surface are estimated by minimizing the distance between the captured image and a target image obtained from the original image.

Abstract: In an example display device for displaying a stereoscopic image, plural stereoscopic pixels composed of pixels for right eye and pixels for left eye are arranged in the horizontal direction and the vertical direction. A parallax barrier according to a vertical display mode or a horizontal display mode is formed. The pixel for right eye and the pixel for left eye each include at least one sub pixel for each of red, blue, and green. In the vertical display mode, sub pixels at first intervals in the horizontal direction are not allowed to emit color lights, and sub pixels at second intervals in the vertical direction are allowed to emit color lights. In the horizontal display mode, sub pixels at second intervals in the vertical direction are not allowed to emit color lights, and sub pixels at first intervals in the horizontal direction are allowed to emit color lights.

Abstract: Real time compensation of the colorimetry of an image projected on a non-uniform projection surface is disclosed. The projected image is captured and coefficients of a simplified model of the projection surface are estimated by minimizing the distance between the captured image and a target image obtained from the original image.

Abstract: The present invention concerns a method and a device for estimating the value of an input in a real-time system. It concerns more particularly real time interactive systems where the input is tracked using a first sensor, typically a camera in presence of a perturbing factor. The perturbing factor is estimated using a second sensor. The component of input computed values due to the perturbing factor are cancelled based on this estimation. A next input value is then estimated from the previous computed input values where the perturbing factor has been cancelled. The estimation is then corrected by applying back the estimation of the perturbing factor.

Abstract: The proposed solution is a calibration process for a dynamic auto-stereoscopic 3D device using an image capture by the camera of the device of the auto-stereoscopic screen through a reflecting surface. The process may also compute the horizontal phase of the parallax barrier.

Abstract: Low spatial frequencies of an original image and an upscaled filtered image are analyzed. Differences will be observed in the low frequency components of the two images in the general case since the pixel art upscaler filter as a side effect introduces low frequency changes. A modification to images produced by the PAU is applied to attempt to match the brightness of the original images in the low frequency spectrum. From a viewer perspective (e.g., based on typical blurring visual effects), the original image and the modified filtered image will look the same—demonstrating that there is no low frequency brightness creep or resulting increased photosensitivity concerns.

Abstract: An example information processing apparatus including an infrared light emitter capable of emitting infrared light and a camera capable of at least taking an infrared light image is provided. In the information processing apparatus, first, an image taken by use of the camera is obtained. A face detection process based on the image is repeatedly executed. Then, based on a result of the face detection process, emission of the infrared light is stopped and emission of the infrared light is resumed after a lapse of a predetermined time period.

Abstract: Low spatial frequencies of an original image and an upscaled filtered image are analyzed. Differences will be observed in the low frequency components of the two images in the general case since the pixel art upscaler filter as a side effect introduces low frequency changes. A modification to images produced by the PAU is applied to attempt to match the brightness of the original images in the low frequency spectrum. From a viewer perspective (e.g., based on typical blurring visual effects), the original image and the modified filtered image will look the same—demonstrating that there is no low frequency brightness creep or resulting increased photosensitivity concerns.

Abstract: An example information processing apparatus including an infrared light emitter capable of emitting infrared light and a camera capable of at least taking an infrared light image is provided. In the information processing apparatus, when face detection has been successful with the infrared light emitted, emission of the infrared light is stopped, and a face detection process with the emission stopped is executed. As a result, when face detection has been successful, the face detection process is continued with emission of the infrared light stopped, and when face detection has been failure, the infrared light is emitted and the face detection process is continued.

Abstract: The present invention concerns a method and a device for estimating the value of an input in a real-time system. It concerns more particularly real time interactive systems where the input is tracked using a first sensor, typically a camera in presence of a perturbing factor. The perturbing factor is estimated using a second sensor. The component of input computed values due to the perturbing factor are cancelled based on this estimation. A next input value is then estimated from the previous computed input values where the perturbing factor has been cancelled. The estimation is then corrected by applying back the estimation of the perturbing factor.

Abstract: In an example display device for displaying a stereoscopic image, plural stereoscopic pixels composed of pixels for right eye and pixels for left eye are arranged in the horizontal direction and the vertical direction. A parallax barrier according to a vertical display mode or a horizontal display mode is formed. The pixel for right eye and the pixel for left eye each include at least one sub pixel for each of red, blue, and green. In the vertical display mode, sub pixels at first intervals in the horizontal direction are not allowed to emit color lights, and sub pixels at second intervals in the vertical direction are allowed to emit color lights. In the horizontal display mode, sub pixels at second intervals in the vertical direction are not allowed to emit color lights, and sub pixels at first intervals in the horizontal direction are allowed to emit color lights.

Abstract: The proposed solution is a calibration process for a dynamic auto-stereoscopic 3D device using an image capture by the camera of the device of the auto-stereoscopic screen through a reflecting surface. The process may also compute the horizontal phase of the parallax barrier.

Abstract: Low spatial frequencies of an original image and an upscaled filtered image are analyzed. Differences will be observed in the low frequency components of the two images in the general case since the pixel art upscaler filter as a side effect introduces low frequency changes. A modification to images produced by the PAU is applied to attempt to match the brightness of the original images in the low frequency spectrum. From a viewer perspective (e.g., based on typical blurring visual effects), the original image and the modified filtered image will look the same—demonstrating that there is no low frequency brightness creep or resulting increased photosensitivity concerns.

Abstract: An example information processing apparatus including an infrared light emitter capable of emitting infrared light and a camera capable of at least taking an infrared light image is provided. In the information processing apparatus, when face detection has been successful with the infrared light emitted, emission of the infrared light is stopped, and a face detection process with the emission stopped is executed. As a result, when face detection has been successful, the face detection process is continued with emission of the infrared light stopped, and when face detection has been failure, the infrared light is emitted and the face detection process is continued.

Abstract: An example information processing apparatus including an infrared light emitter capable of emitting infrared light and a camera capable of at least taking an infrared light image is provided. In the information processing apparatus, first, an image taken by use of the camera is obtained. A face detection process based on the image is repeatedly executed. Then, based on a result of the face detection process, emission of the infrared light is stopped and emission of the infrared light is resumed after a lapse of a predetermined time period.