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: 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 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: 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: 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: A surveillance camera system includes a camera and an image recorder. The image recorder receives a plurality of images captured by the camera and selectively encrypting the plurality of images captured by the camera to generate an encrypted file.

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.

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 depth map generation device capable of correcting occlusion includes at least two image capture pairs and a depth map generator. The at least two image capture pairs is used for capturing a plurality of images. The depth map generator is coupled to the two image capture pairs for generating a first depth map and a second depth map according to the plurality of images, wherein when the first depth map includes a first occlusion region and a first non-occlusion region, the depth map generator corrects the first occlusion region according to the second depth map.

Abstract: An image capture device includes a light source, an image capture circuit, and a processor. The light source is used for generating emitting light. The image capture circuit is used for capturing an image corresponding to the emitting light. The processor is coupled to the light source and the image capture circuit for optionally adjusting the intensity of the emitting light of the light source according to luminance corresponding to the image and a target value.