Abstract: An automatic robotic arm system and a coordinating method for robotic arm and computer vision thereof are disclosed. A beam-splitting mirror splits an incident light into a visible light and a ranging light and respectively guides to an image capturing device and an optical ranging device arranged in the different reference axes. In a calibration mode, a transformation relation is computed based on a plurality of the calibration postures and corresponding calibration images. In an operation mode, a mechanical space coordinate is determined based on an operation image and the transformation relation, and the robotic arm is controlled to move based on the mechanical space coordinate.

Abstract: The focus detection accuracy of a focus detection device that employs an external AF sensor unit having a pair of line sensors that are each comprised of multiple unit line sensors is improved. The individual line sensors are arranged so that the center of the field of view of an imaging optical system at a predetermined subject distance, at which field-of-view adjustment for causing the field of view of the imaging optical system and the field of view of a focus-detection optical system to match has been carried out, corresponds to the center of one of the multiple unit line sensors included in the individual line sensors.

Abstract: A method of using an image capture device to identify range information for objects in a scene, includes providing an image capture device having at least one image sensor, a lens and a coded aperture, storing in a memory a set of blur kernels derived from range calibration data for the coded aperture, capturing a first and second image of the scene having a plurality of objects, corresponding to first and second optical magnifications, respectively. The method further includes providing a set of deblurred images using the capture images from each magnification and each of the blur kernels from the stored set, and using the set of deblurred images to determine the range information for the objects in the scene.

Abstract: A method of using an image capture device to identify range information for objects in a scene includes providing an image capture device having an image sensor, a coded aperture having circular symmetry, and a lens; storing in a memory a set of blur parameters derived from range calibration data; capturing images of the scene having a plurality of objects; producing a set of reference edge images using the blur parameters from the stored set; providing a set of deblurred images using the captured image, the reference edges and each of the blur parameters from the stored set; and using the set of deblurred images to determine the range information for the objects in the scene.

Abstract: A system, device within a system, and a method for enhancing visual perception in a two-dimensional image is disclosed, providing the induction of retinal disparity in the viewer by in a system with which the two-dimensional image is viewed. With fusion of the retinally disparate images of the two-dimensional image, the viewer experiences the enhancement of his or her visual perception in the two dimensional image, which includes enhancement of depth perception and enhancement in clarity perception.

Abstract: A method generates a textured range image by first acquiring a first image of a scene illuminated with ambient light, and acquiring a second image of the scene illuminated with direct light. The first and second images are combined to determine the textured range image.

Abstract: A distance measuring apparatus has: an AF optical system for dividing object light beams into a pair thereof and forming images and; an AFIC for photoelectrically converting received object optical images in pixels, accumulating charges, and outputting object distance information on the basis of the object image signal. A CPU discriminates whether or not the object is based on a night view or a view in which the night view is the background on the basis of the output of the AFIC or an operation of a night view photographing mode switch, and corrects the object distance to a second predetermined distance shorter than a first predetermined distance when the object is based on the night view or the like and the object distance is longer than the first predetermined distance.