Abstract:
A depth map generation device for merging multiple depth maps includes at least three image capturers, a depth map generator, and a mixer. The at least three image capturers form at least two image capture pairs. The depth map generator is coupled to the at least three image capturers for generating a depth map corresponding to each image capturer pair of the at least two image capture pairs according to an image pair captured by the each image capturer. The mixer is coupled to the depth map generator for merging at least two depth maps corresponding to the at least two image capturer pairs to generate a final depth map, wherein the at least two depth maps have different characteristics.
Abstract:
A calibration method of an image capture system includes an image capture device of at least one image capture device capturing an image including a plurality of intersection coordinates among a plurality of geometric blocks of a test pattern and an information of a color of each geometric block of the plurality of geometric blocks; an operation unit executing a first operation on the plurality of intersection coordinates within the image to generate a plurality of geometric calibration parameters; the operation unit executing a second operation on an information of a color of each geometric block of the plurality of geometric blocks within the image to generate a plurality of color calibration parameters; and a calibration unit calibrating the image capture device according to the plurality of geometric calibration parameters and the plurality of color calibration parameters.
Abstract:
An image processing device applied to an RGB-IR sensor includes an interpolation unit and a color correction unit. Pixels included in the RGB-IR sensor are arranged into a plurality of bayer pattern units. The interpolation unit generates interpolation values of a red color component, a green color component, a blue color component, and an IR component of each pixel of each bayer pattern unit of the plurality of bayer pattern units according to gray levels of red pixels, green pixels, blue pixels, and IR pixels located in predetermined positions of the plurality of bayer pattern units. The color correction unit generates correction values of the red color component, the green color component, and the blue color component of the each pixel according to a correction matrix corresponding to the each pixel and the interpolation values.
Abstract:
An image rendering device and an image rendering method are disclosed. For the elements of the image rendering device, a first sensor and a second sensor are configured to sense a target object in a two-dimensional (2D) mode and three-dimensional (3D) mode to generate a first surface-color-signal, a first 3D-depth-signal, a second surface-color-signal and a second 3D-depth-signal respectively. An IR projector is configured to generate an IR-dot-pattern. A processor is configured to control the IR projector to project the IR-dot-pattern on the target object in the 3D mode, and configured to process the first surface-color-signal, the second surface-color-signal, the first 3D-depth-signal and the second 3D-depth-signal to obtain a color 3D model of the target object.
Abstract:
A processing method and a processing system for multiple depth information are provided. The processing method for multiple depth information includes the following steps. A plurality of first images and a plurality of second images are obtained. The first images and the second images are inputted to the same depth generating unit. The first images and the second images are calculated by the depth generating unit to obtain a plurality of depth information corresponding to the first images and the second images.
Abstract:
A sensing device comprises a first sensor, a second sensor and a computing unit. The first sensor generates a plurality of first depth information with a first sampling rate and a first precision. The second sensor generates a plurality of second depth information with a second sampling rate and a second precision. The second sampling rate is greater than the first sampling rate, and the second precision is less than the first precision. The computing unit performs a fusion operation according to the first depth information and the second depth information to obtain a fused depth information. The fused depth information has the first precision and the second sampling rate.
Abstract:
An image capturing apparatus and a mobile cleaning robot are provided. The image capturing apparatus includes a light emitter, an image sensor, and a filter. The light emitter is configured to emit an invisible light to a target. The image sensor includes a field of view (FOV) covering an area of the target from near to far and is configured to sense the invisible light reflected from the area of the target and generate an image of the area of the target. The filter is configured to filter the invisible light to transform the invisible light into a non-uniform invisible light.
Abstract:
An image processing device includes a rotation processor and an image processor. The rotation processor receives an input image and generates a temporary image according to the input image. The image processor is coupled to the rotation processor and outputs a processed image according to the temporary image, wherein the image processor has a predetermined image processing width, a width of the input image is larger than the predetermined image processing width, and a width of the temporary image is less than the predetermined image processing width.
Abstract:
An image capture system with calibration function includes an image capture device, a laser rangefinder, and a processer. The image capture device captures two images. The processer determines at least one feature point according to the two images, and generates depth information corresponding to each feature point of the at least one feature point according to the two images, wherein the laser rangefinder measures a reference distance corresponding to the each feature point, and the processer optionally calibrates the depth information or the two images according to the reference distance.
Abstract:
An image processing device includes a rotation processor and an image processor. The rotation processor receives an input image and generates a temporary image according to the input image. The image processor is coupled to the rotation processor and outputs a processed image according to the temporary image, wherein the image processor has a predetermined image processing width, a width of the input image is larger than the predetermined image processing width, and a width of the temporary image is less than the predetermined image processing width.