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 performs color measurements of the tooth. The computing device receives the three-dimensional scan 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 information has been received, wherein each color zone indicates a separate region of the tooth that is expected to have approximately uniform color.

An information processing apparatus includes an acquisition unit configured to acquire image data, a generation unit configured to generate information about time as generated additional data, and a replacement unit configured to replace data at a plurality of pixel positions of the acquired image data with the generated additional data.

An information processing apparatus is configured to output a histogram for inspecting a state of a target object based on presence of a peak in a specific class in the histogram, the histogram representing a distribution of depth values from a measurement apparatus to the target object, the information processing apparatus including an acquisition unit configured to acquire depth information obtained from a result of measurement of a depth value from the measurement apparatus to the target object by the measurement apparatus and an output unit configured to output a histogram based on the acquired depth information so that a frequency of a class including a predetermined depth value to be applied when the depth value is not obtained is reduced.

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.

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.

A point cloud compression approach that exploits HEVC for compression of both the geometry and color data is described herein. Although both the geometry and color could be compressed in a lossy fashion, the point cloud compression approach is suggested for the scenario of lossless geometry and lossy color coding. Both geometry and color data are first mapped into 2D images and then compressed by HEVC. A sorting technique is used to sort the geometry data to make it as correlated as possible when it is mapped to a 2D image. For color coding, clustering is used to put similar colors in a point cloud into spatial neighbors in the mapped 2D image. This significantly avoids color leaking due to quantization errors to neighbor points in 3D. The results show that much better compression is achieved compared to the Anchor when it is configured for lossless geometry coding.

The method for projecting immersive audiovisual content comprises a cropping step (2) wherein a digital image is cropped (1), selecting its size; and also comprises correcting (3) the optical distortion of said digital image (1) for the projection thereof.

It enables a method for projecting immersive-type optimised audiovisual content in real spaces, for a user or group of users.

An imaging apparatus includes a first and second light source, focusing optics, a probe, a detector, an optical transmission medium and a color sensor. The first light source is to generate light beams that travel through the focusing optics along an optical path to the probe. The probe directs the light beams toward a three dimensional object to be imaged. The detector detects returning light beams that are reflected off of the three dimensional object and directed back through the probe and the focusing optics. The second light source is to generate multi-chromatic light. The optical transmission medium is outside of the optical path and is to receive a ray of the multi-chromatic light reflected off of a spot on the three dimensional object and through the probe. The color sensor is to receive the ray from the optical transmission medium and determine a color of the spot on the three dimensional object.

In one embodiment, a method includes accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern. The first filter pattern includes a first filter type corresponding to a spectrum of interest and a second filter type. The method also includes accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern. The second filter pattern includes a number of second filter types, the number of second filter types and the number of first filter types have at least one filter type in common. The method also includes determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data.

An image splicing method includes obtaining a first overlapping image and a second overlapping image from a first image and a second image to-be-spliced. The method also includes determining a motion vector from each pixel in the first overlapping image to a corresponding pixel in the second overlapping image, to obtain an optical flow vector matrix; according to the optical flow vector matrix, remapping the first overlapping image to obtain a first remapping image, and remapping the second overlapping image to obtain a second remapping image; and merging the first remapping image and the second remapping image, to obtain a merged image of the first overlapping image and the second overlapping image, and determining a spliced image of the first image and the second image according to the merged image.