Abstract: A dual sensor imaging system and a privacy protection imaging method thereof are provided. The system is configured to control at least one color sensor and at least one IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions adapted for an imaging scene, adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene, detect a feature area with features of a target of interest in the color image, and fuse the color image and the IR image to generate a fusion image with the details of the imaging scene, and crop an image of the feature area of the fusion image to be replaced with an image not belonging to the IR image, so as to generate a scene image.

Abstract: An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The method includes: identifying an imaging scene; controlling a color sensor and an IR sensor to respectively capture color images and IR images by adopting capturing conditions suitable for the imaging scene; calculating a signal-to-noise ratio (SNR) difference between each color image and the IR images, and a luminance mean value of each color image; selecting the color image and IR image captured under capturing conditions of having the SNR difference less than an SNR threshold and the luminance mean value greater than a luminance threshold to execute a feature domain transformation to extract partial details of the imaging scene; and fusing the selected color image and IR image to adjust the partial details of the color image according to a guidance of the partial details of the IR image to obtain a scene image with full details.

Abstract: A dual sensor imaging system and a depth map calculation method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for an imaging scene, adaptively select a combination of the color image and the IR image that are comparable to each other from the color images and the IR images; and calculate a depth map of the imaging scene by using the selected color image and IR image.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: identify an imaging scene of the dual sensor imaging system; control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for the imaging scene; adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene; and fuse the selected color image and IR image to generate a scene image with details of the imaging scene.

Abstract: A dual sensor imaging system and a calibration method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images of an imaging scene by adopting multiple capturing conditions; calculate multiple color image parameters of the color image captured under each capturing condition and multiple IR image parameters of the IR image captured under each capturing condition to be used to calculate a difference between a brightness of the color image and a brightness of the IR image; and determine an exposure setting suitable for the color sensor and the IR sensor according to the calculated difference.

Abstract: An image outputting method and an electronic device are provided. The method includes: shooting a scene by using a plurality of different exposure durations to obtain a plurality of images respectively; performing a summation operation according to the images to obtain a first image; adjusting a first brightness of the first image to an output brightness to generate a second image; respectively converting pixel values of a plurality of first pixels in the second image into other corresponding pixel values in another value domain to generate an output image; and outputting the output image.

Abstract: An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: A dual sensor imaging system and a depth map calculation method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for an imaging scene, adaptively select a combination of the color image and the IR image that are comparable to each other from the color images and the IR images; and calculate a depth map of the imaging scene by using the selected color image and IR image.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The method includes: identifying an imaging scene; controlling a color sensor and an IR sensor to respectively capture color images and IR images by adopting capturing conditions suitable for the imaging scene; calculating a signal-to-noise ratio (SNR) difference between each color image and the IR images, and a luminance mean value of each color image; selecting the color image and IR image captured under capturing conditions of having the SNR difference less than an SNR threshold and the luminance mean value greater than a luminance threshold to execute a feature domain transformation to extract partial details of the imaging scene; and fusing the selected color image and IR image to adjust the partial details of the color image according to a guidance of the partial details of the IR image to obtain a scene image with full details.

Abstract: A dual sensor imaging system and a privacy protection imaging method thereof are provided. The system is configured to control at least one color sensor and at least one IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions adapted for an imaging scene, adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene, detect a feature area with features of a target of interest in the color image, and fuse the color image and the IR image to generate a fusion image with the details of the imaging scene, and crop an image of the feature area of the fusion image to be replaced with an image not belonging to the IR image, so as to generate a scene image.

Abstract: A dual sensor imaging system and a calibration method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images of an imaging scene by adopting multiple capturing conditions; calculate multiple color image parameters of the color image captured under each capturing condition and multiple IR image parameters of the IR image captured under each capturing condition to be used to calculate a difference between a brightness of the color image and a brightness of the IR image; and determine an exposure setting suitable for the color sensor and the IR sensor according to the calculated difference.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: identify an imaging scene of the dual sensor imaging system; control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for the imaging scene; adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene; and fuse the selected color image and IR image to generate a scene image with details of the imaging scene.

Abstract: An image generating method and an electronic apparatus are provided. The method includes: determining whether at least one object in a plurality of first images to be captured will generate a blur to generate a determination result; determining a first amount of at least one second image in the plurality of first images and a second amount of at least one third image in the plurality of first images according to the determination result, wherein a first setting for capturing the second image is different from a second setting for capturing the third image; capturing the second image according to the first setting; capturing the third image according to the second setting; using the first amount of the second image and the second amount of the third image to perform an image superposition operation to generate an output image; and outputting the output image.

Abstract: An image outputting method and an electronic device are provided. The method includes: shooting a scene by using a plurality of different exposure durations to obtain a plurality of images respectively; performing a summation operation according to the images to obtain a first image; adjusting a first brightness of the first image to an output brightness to generate a second image; respectively converting pixel values of a plurality of first pixels in the second image into other corresponding pixel values in another value domain to generate an output image; and outputting the output image.

Abstract: A multi-camera electronic device and a control method thereof are proposed. The method includes the following steps. At least one camera of the electronic device is used for scene detection to generate photographing analysis information. All the photographing analysis information is collected, and joint photographing information including a joint target is generated through a communication process among all the cameras. An individual photographing parameter of each camera is generated according to the joint photographing information. Each camera is controlled to capture an image of the scene by using its individual photographing parameter to respectively generate a corresponding output image.

Abstract: An image generating method and an electronic apparatus are provided. The method includes: determining whether at least one object in a plurality of first images to be captured will generate a blur to generate a determination result; determining a first amount of at least one second image in the plurality of first images and a second amount of at least one third image in the plurality of first images according to the determination result, wherein a first setting for capturing the second image is different from a second setting for capturing the third image; capturing the second image according to the first setting; capturing the third image according to the second setting; using the first amount of the second image and the second amount of the third image to perform an image superposition operation to generate an output image; and outputting the output image.

Abstract: A dual camera module includes a first circuit board, a second circuit board, a first base, a first lens, a second base, a second lens and a glue. The second circuit board and the first circuit board are arranged side by side. The first base is disposed on the first circuit board, and the first lens is disposed inside the first base. The second base is disposed on the second circuit board, wherein the second base and the first base are arranged side by side, and a first outer surface of the first base faces a second outer surface of the second base. The second lens is disposed inside the second base. The glue is disposed between the first base and the second base and adhered to the first outer surface and the second outer surface.