A method of sub-PU (prediction unit) syntax element signaling for a three-dimensional or multi-view video coding system is disclosed. A first syntax element associated with a texture sub-PU size is transmitted only for texture video data and a second syntax element associated with a depth sub-PU size is transmitted only for depth video data. The first syntax element associated with the texture sub-PU size is used to derive an IVMP (inter-view motion prediction) prediction candidate used for a texture block. The second syntax element associated with the depth sub-PU size is used to a MPI (motion parameter inheritance) prediction candidate for a depth block.

The present technique relates to an image processing apparatus and an image processing method capable of generating a color image of a display viewpoint using a color image and a depth image of a predetermined viewpoint. The viewpoint generation information generation unit generates viewpoint generation information used to generate a color image of a display viewpoint in accordance with a generation method of the color image of the display viewpoint obtained by performing warping processing using multi-viewpoint corrected color images and multi-viewpoint depth images. The multi-viewpoint image encoding unit encodes the multi-viewpoint corrected color images and the multi-viewpoint depth images, and transmits them with the viewpoint generation information. The present technique can be applied to, for example, a multi-viewpoint image processing apparatus.

A wound image capture method that uses self color compensation to improve color consistency of the captured image and reliability of color-based wound detection. The method uses the skin tone of parts of the patient's own body for color calibration and compensation. In a data registration process, multiple parts of a new patient's body are imaged as baseline images and color data of the baseline images are registered in the system as reference color data. During subsequent wound image capture and wound assessment process, the same parts of the patient's body are imaged again as baseline images, and the wound and its surrounding areas are also imaged. Color data of the newly capture baseline images are compared to the registered reference color data and used to perform color compensation for the wound image.

A method for generating a three-dimensional model of an object, by a scanning system including a client-side device including: an acquisition system configured to capture images; and an interaction system including a display device and a network interface includes: capturing a plurality of images of the object by the acquisition system, the images being captured from a plurality of different poses of the acquisition system; computing depth maps from the images of the objects, each of the depth maps corresponding to one of the poses of the acquisition system; combining the depth maps to generate a combined point cloud; and displaying, on the display device, the combined point cloud or a 3D mesh model generated from the combined point cloud.

A display device for virtual reality. A first display panel comprises a first pixel row having a first end and a second end that is closer to the second display panel than the first end. The first pixel row has a first arrangement of unit pixels that alternate between a first unit pixel type and a second unit pixel type. A second display panel comprises a second pixel row aligned with the first pixel row and having a third end and a fourth end that is further from the first display panel than the third end. A first unit pixel at the first end of the first pixel row is the first unit pixel type, and a second unit pixel at the third end of the second pixel row is the second unit pixel type.

A recorder creating an encoded data stream comprising an encoded video stream and an encoded graphics stream, the video stream comprising an encoded 3D (three-dimensional) video object, and the graphics stream comprising at least a first encoded segment and a second encoded segment, the first segment comprising 2D (two-dimensional) graphics data and the second segment comprises a depth map for the 2D graphics data. A graphics decoder decoding the first and second encoded segments to form respective first and second decoded sequences. Outputting the first and second decoded sequences separately to a 3D display unit. The 3D display unit combining the first and second decoded sequences and rendering the combination as a 3D graphics image overlaying a 3D video image simultaneously rendered from a decoded 3D video object decoded from the encoded 3D video object.

An agricultural working machine, in particular a tractor, has at least one agricultural working unit for working a crop field including a multitude of useful plants, and a camera system which includes a 3D camera. The camera system is configured for generating with the 3D camera 3D information regarding the crop field by recording stereoscopic image pairs along two different viewing axes. The viewing axes proceed from optical centers of the 3D camera, which are connected to each other by a baseline that is inclined relative to the horizontal.

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.

Systems and method for correcting images including artifacts due to dirty camera lenses of electronic device are disclosed. Correction of images by the systems and methods includes obtaining a first raw pixel image of a scene captured with a first camera, obtaining a second raw image of the scene captured with a second camera separate from the first camera in a camera baseline direction, rectifying the first and second raw pixel images to create respective first and second rectified pixel images, determining disparity correspondence between corresponding image pixel pairs of the first and second rectified images in the camera baseline direction, mapping first and second rectified images into the same domain using the determined disparity, detect image artifact regions within each domain mapped image by comparing corresponding regions of the domain mapped images, determining correction factors for each detected image artifact region, and correcting the rectified first and second images by applying the determined correction factors.

Aspects of the present disclosure relate to distributed virtual reality. In examples, a depth buffer and a color buffer are generated at a presenter device as part of rendering a virtual environment. The virtual environment may be perceived by a user in three dimensions (3D), for example via a virtual reality (VR) headset. Virtual environment information comprising the depth buffer and the color buffer may be transmitted to a viewer device, where it is used to render the virtual environment for display to a viewer. For example, the viewer may similarly view the virtual environment in 3D via a VR headset. A viewer perspective (e.g., from which the virtual environment is generated for the viewer) may differ from a presenter perspective and may be manipulated by the viewer, thereby decoupling the viewer's perception of the virtual environment from that of the presenter.