A dimensioning system that analyzes a distance map for null-data pixels to provide feedback is disclosed. Null-data pixels correspond to missing range data and having too many in a distance map may lead to dimensioning errors. Providing feedback based on the number of null-data pixels helps a user understand and adapt to different dimensioning conditions, promotes accuracy, and facilitates handheld applications.

Methods, an apparatus, and software media are provided for removing unwanted information such as moving or temporary foreground objects from a video sequence. The method performs, for each pixel, a statistical analysis to create a background data model whose color values can be used to detect and remove the unwanted information. This includes determining a prevalent color cluster from among k clusters of color values for the pixel in successive frames. The method uses k-means clustering. To replace the unwanted information, the method iterates frames to find frames in which a pixel's color value is not included in the prevalent color cluster. In those frames, it replaces the pixel's color value with a value from the prevalent color cluster.

A multi-aperture imaging system determines depth map information. A series of image frames of a scene are captured. The frames include a normal image frame and at least one structured image frame. The multi-aperture imaging system determines edge information of an object in the scene using a deblur technique and the normal image frame. The multi-aperture imaging system determines fill depth information for the object based in part on the at least one structured image frame. The multi-aperture imaging system generates a depth map of the scene using the edge depth information and the fill depth information.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

A method for generating a stereoscopic video stream (101) having composite images (C) that include information about a right image (R) and a left image (L), as well as at least one depth map includes pixels from the right image (R) and from the left image (L), and then entering the selected pixels into a composite image (C) of the stereoscopic video stream. The method also provides for entering all the pixels of the right image (R) and all the pixels of the left image (L) into the composite image (C) by leaving one of said two images unchanged and breaking up the other one into regions (R1, R2, R3) having a plurality of pixels. The pixels of the depth map(s) are then entered into that region of the composite image which is not occupied by pixels of the right and left images.

An electrically controlled spectacle includes a spectacle frame and optoelectronic lenses housed in the frame. The lenses include a left lens and a right lens, each of the optoelectrical lenses having a plurality of states, wherein the state of the left lens is independent of the state of the right lens. The electrically controlled spectacle also includes a control unit housed in the frame, the control unit being adapted to control the state of each of the lenses independently.

In some aspects, the techniques described herein relate to systems, methods, and computer readable media for data pre-processing for stereo-temporal image sequences to improve three-dimensional data reconstruction. In some aspects, the techniques described herein relate to systems, methods, and computer readable media for improved correspondence refinement for image areas affected by oversaturation. In some aspects, the techniques described herein relate to systems, methods, and computer readable media configured to fill missing correspondences to improve three-dimensional (3-D) reconstruction. The techniques include identifying image points without correspondences, using existing correspondences and/or other information to generate approximated correspondences, and cross-checking the approximated correspondences to determine whether the approximated correspondences should be used for the image processing.

An information processing apparatus includes an extraction unit configured to extract a region of an object from each of two images captured from two viewpoints, a processing unit configured to process each of the two images based on the region of the object, a detection unit configured to detect correspondence points from the regions of the object in the two images that have been processed by the processing unit, and an estimation unit configured to estimate a depth of the object from the two viewpoints based on locations of the two viewpoints and locations of the correspondence points in the two images.

An imaging system includes a light source that, in operation, emits an emitted light containing a near-infrared light in a first wavelength region, an image sensor, and a double-band pass filter that transmits a visible light in at least a part of a wavelength region out of a visible region and the near-infrared light in the first wavelength region. The image sensor includes light detection cells, a first filter that selectively transmits the near-infrared light in the first wavelength region, second to fourth filters that selectively transmit lights in second to fourth wavelength regions, respectively, which are contained in the visible light, and an infrared absorption filter. The infrared absorption filter faces the second to fourth filters and absorbs the near-infrared light in the first wavelength region.

An imaging apparatus includes a first camera which includes a color filter portion including a red color filter, a green color filter, and a blue color filter, and a first light receiving portion receiving light transmitted through the color filter portion, and which captures a color image, a second camera which includes a spectroscopic element configured to disperse light having a predetermined spectral wavelength from incident light and to change the spectral wavelength to four or more wavelengths, and a second light receiving portion receiving the light dispersed by the spectroscopic element, and which captures a spectroscopic image of each wavelength dispersed by the spectroscopic element, a first imaging condition setting portion which sets a first imaging condition which is an imaging condition of the first camera, and a second imaging condition setting portion which sets a second imaging condition, which is an imaging condition of the second camera, based on the first imaging condition.