H04N2013/0077

TEMPORALLY CONSISTENT BELIEF PROPAGATION SYSTEM AND METHOD
20200027220 · 2020-01-23 ·

A temporally consistent belief propagation system includes a disparity map buffer that provides a disparity map of a previous time; a belief propagation unit that generates an energy function according to a first image of a present time, a second image of the present time, a first image of the previous time and the disparity map of the previous time; and a disparity generating unit that generates a disparity map of the present time according to the energy function.

Enhancing spatial resolution in a stereo camera imaging system

Techniques are disclosed for capturing stereoscopic images using one or more high color density or full color image sensors and one or more low color density or sparse color image sensors. Low color density image sensors, may include substantially fewer color pixels than the sensor's total number of pixels, as well as fewer color pixels than the total number of color pixels on the full color image sensor. More particularly, the mostly-monochrome image captured by the low color density image sensor may be used to reduce noise and increase the spatial resolution of an imaging system's output image. In addition, the color pixels present in the low color density image sensor may be used to identify and fill in color pixel values, e.g., for regions occluded in the image captured using the full color image sensor. Optical Image Stabilization and/or split photodiodes may be employed on one or more sensors.

METHODS FOR AUTOMATIC REGISTRATION OF 3D IMAGE DATA
20200007842 · 2020-01-02 ·

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.

DETECTION METHOD AND DETECTION DEVICE, ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM
20190387221 · 2019-12-19 ·

A detection method for an image acquisition device, a detection device for an image acquisition device, an electronic device and a computer readable storage medium are disclosed. The image acquisition device includes a light source and a diffuser, the diffuser is configured to scatter light emitted by the light source and the light emitted by the light source is irradiated on at least partial area of a scene, the image acquisition device includes: acquiring an image of the scene; determining an effective area of the image; and determining whether or not the diffuser is in an abnormal working state according to information of the effective area.

USER INTERFACE FOR INTRAORAL SCANNING WITH TOOTH COLOR DETECTION
20240056561 · 2024-02-15 ·

A system includes an intraoral scanner and a computing device operatively connected to the intraoral scanner. The intraoral scanner generates three-dimensional scan data of a tooth and further generates color data of the tooth under multi-chromatic light. The computing device receives the three-dimensional scan data and the color data of the tooth during a first mode of operation. The computing device invokes a second mode of operation, and presents, in a graphical user interface (GUI), an image of the tooth. The computing device further presents, in the GUI, data indicating a plurality of color zones of the tooth and further indicating, for at least one color zone of the plurality of color zones, that insufficient color data has been received, wherein each color zone indicates a separate region of the tooth that is expected to have approximately uniform color.

ADAPTIVE SUPER-SAMPLING BASED ON GAZE
20240054604 · 2024-02-15 ·

In one embodiment, a method includes determining a gaze direction of a user wearing a head-mounted device, the head-mounted device having a display configured to output an image having multiple of pixels. The method may further include determining, for each of the multiple pixels, a set of sampling locations based on the gaze direction of the user, the sets of sampling locations of the multiple pixels being a portion of a sampling pattern defined based on the gaze direction of the user. In one embodiment, the method may also include computing, for each of the multiple pixels, a color value for the pixel by sampling a scene according to the set of sampling locations associated with the pixel, generating the image using the color values of the multiple pixels, and outputting the image using the display of the head-mounted device.

Imaging system including light source, image sensor, and double-band pass filter

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.

Display apparatus, display method, and computer readable recording medium

A display apparatus includes a display section and a changing section. The display section displays an image that gives a stereoscopic perspective to an observer. The changing section changes an amount by which the stereoscopic perspective in the image displayed by the display section is enhanced according to a setting of the observer.

SYSTEMS AND METHODS FOR IMPROVED 3-D DATA RECONSTRUCTION FROM STEREO-TEMPORAL IMAGE SEQUENCES
20190325590 · 2019-10-24 · ·

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.

SYSTEMS AND METHODS FOR IMPROVED 3-D DATA RECONSTRUCTION FROM STEREO-TEMPORAL IMAGE SEQUENCES
20190325594 · 2019-10-24 · ·

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.