Abstract: A depth information processing method and a depth information processing system using the same are provided. The method includes the following steps. A pixel shifting process is performed on a first image and a second image of an original image group to obtain a zero-shifted first image and a shifted second image of a shifted image group. The original image group and the shifted image group are combined to obtain a combined image. A depth information processing is performed on the combined image to obtain an initial depth information. The initial depth information has a basic depth information corresponding to the original image group and a compensated depth information corresponding to the shifted image group. A numerical restoration process is performed on the compensated depth information to obtain a restored depth information. The basic depth information and the restored depth information are fused to obtain a fused depth information.

Abstract: A processing system for reducing data amount of a point cloud includes a sample rate controller and a transmitter. The sample rate controller is used for receiving a plurality of coordinates corresponding to the point cloud, and sampling the plurality of coordinates according to an adjustable sampling rate to generate a plurality of sampled coordinates, wherein data amount of the plurality of coordinates is not less than data amount of the plurality of sampled coordinates. The transmitter coupled to the sample rate controller is used for outputting the plurality of sampled coordinates.

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: A data processing method includes the following steps. An input image is received, the input image has a plurality of pixels, and each of the pixels has a pixel position. An valid region is defined in the input image, a plurality of valid pixels among the pixels are located in the valid region, and each valid pixel has a valid data. The valid data is written to the target address of the memory correspondingly according to a starting write address of the memory and a valid width of the input image, or according to the starting write address, the starting offset of the input image and the accumulation address of the memory.

Abstract: A calibration system for a multi-camera system is disclosed. The calibration system includes a connection device, a storage device, and a processor.

Abstract: The invention provides a time-of-flight ranging system and a time-of-flight ranging method. The time-of-flight ranging system includes a time-of-flight ranging sensor, a decoder, a computing processor, and a fusion processor. The time-of-flight ranging sensor receives a first reflected light and a second reflected light reflected by a sensing target, and generates first raw data and second raw data according to the first reflected light. The decoder generates a first input according to the first raw data and generates a second input according to the second raw data. The computing processor generates a first output and a second output according to the first input and the second input. The fusion processor performs a weighted average operation according to a first amplitude, a second amplitude, the first output, and the second output to generate depth information.

Abstract: The application provides an electronic system and an image aggregation method thereof. The electronic system includes a plurality of image pickup devices and an image aggregation device coupled to the image pickup devices. The image aggregation device controls trigger of the image pickup devices. When the image pickup devices are triggered, the image pickup devices pickup a plurality of images and send to the image aggregation device. The image aggregation device flexibly selects the images pickup by the image pickup devices to flexibly aggregate into an aggregated image.

Abstract: A fusion method and a fusion system for multiple depth information are provided. A first depth information is obtained by a first image capturing module. A second depth information is obtained by a second image capturing module. Through a non-linear transformation, the first depth information is transformed into a first transformation information, and the second depth information is processed according to the first transformation information to generate a transformed information; or the first depth information and the second depth information are merged to be a fusion information, which is then transformed into the transformed information through the nonlinear transformation.

Abstract: A calibration system for a multi-camera system is disclosed. The calibration system includes a connection device, a storage device, and a processor.

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: The present invention discloses an image capture device and depth information calculation method thereof. The depth information calculation method includes: acquiring, a stereo camera module, an image information; and determining a re-projection mode according to a usage scenario, and transforming the image information to a depth information corresponding to the re-projection mode according to the re-projection mode. The re-projection mode is planar mode, cylinder mode or spherical mode, and the corresponding coordinate systems are planar coordinate system, cylinder coordinate system and spherical coordinate system respectively.

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: A depth map generation device includes a plurality of image capture pairs, a depth map generation module, and a processor. The depth map generation module is coupled to the plurality of image capture pairs for generating a plurality of depth maps corresponding to the plurality of image capture pairs according to the image pairs captured by the plurality of image capture pairs. The processor is coupled to the depth map generation module for optionally outputting a depth map of the plurality of depth maps, or outputting a blending depth map composed of a part or all of the plurality of depth maps.

Abstract: A depth processing system includes a plurality of depth capturing devices and a processor. Each depth capturing device of the plurality of depth capturing devices generates depth information corresponding to a field-of-view thereof according to the field-of-view. The processor fuses a plurality of depth information generated by the plurality of depth capturing devices to generate a three-dimensional point cloud/panorama depths corresponding to a specific region, and detects a moving object within the specific region according to the three-dimensional point cloud/the panorama depths.

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: A depth information processing device includes a multi-directional information processor. The multi-directional information processor is used for generating a corrected depth value according to valid depth values of corresponding positions in at least two different directions corresponding to a position in a hole in depth information, wherein the corrected depth value is used for correcting an invalid depth value of the position, and the corresponding positions in the at least two different directions are outside the hole. After the multi-directional information processor corrects invalid depth values of a plurality of positions included in the hole, the multi-directional information processor outputs corrected depth information.

Abstract: A processing system for reducing data amount of a point cloud includes a sample rate controller and a transmitter. The sample rate controller is used for receiving a plurality of coordinates corresponding to the point cloud, and sampling the plurality of coordinates according to an adjustable sampling rate to generate a plurality of sampled coordinates, wherein data amount of the plurality of coordinates is not less than data amount of the plurality of sampled coordinates. The transmitter coupled to the sample rate controller is used for outputting the plurality of sampled coordinates.

Abstract: An image device utilizing non-planar projection images to generate a depth map includes two image capturers and a depth engine. The two image capturers are used for generating two non-planar projection images, wherein when each non-planar projection image of the two non-planar projection images is projected to a space corresponding to an image capturer corresponding to the each non-planar projection image, projection positions of each row of pixels of the each non-planar projection image in the space and optical centers of the two image capturers share a plane. The depth engine is used for generating a depth map according to the two non-planar projection images.

Abstract: An image device for generating depth images includes at least two image capturers and a rotating device. When the rotating device rotates the at least two image capturers, multiple images captured by the at least two image capturers are utilized to generate a depth image, wherein a view angle corresponding to the depth image is not less than a view angle of each image capturer of the at least two image capturers.