Abstract: A control method of a depth camera includes controlling first and second image sensors to detect light in a first wavelength range, generating a first depth map based on first and second images, subjecting one of the first and second images to edge-detection processing, controlling a light source to emit light in a second wavelength range when a number of edge pixels is determined to be smaller than a preset pixel number, controlling the second image sensor to detect light in the second wavelength range, generating a second depth map based on a third image, subjecting the first and the second depth maps to image fusion processing, and registering a fused depth map with one of the first and second images to generate 3D point cloud data.

Abstract: An image capturing device including a first image capturing module and a second image capturing module. The first image capturing module includes a first light source and a first depth detection component, and the second image capturing module includes a second light source and a second depth detection component. The first light source is adapted to emit a first light to a first detection area, and the first depth detection component is adapted to receive the reflected first light, so as to acquire the first depth information. The second light source is adapted to emit a second light to a second detection area, and the second depth detection component is adapted to receive the reflected second light for acquiring the second depth information. The first and second detection areas are substantially adjacent to each other, and the first and second light sources alternately emit the first and second lights.

Abstract: An image capturing system comprises a first image capturing module, a second image capturing module and a depth map processing/generating device. The first image capturing module having a first lens, a first aperture and a first image sensor generates a first image corresponding to a first optical-wavelength range. The second image capturing module having a second lens, a second aperture, a third aperture and a second image sensor generates a second image of the first optical-wavelength range and a third image of a second optical-wavelength range. The depth map processing/generating device generates a first depth map according to the parallax of the scene observed in the first image and the second image, and generates a second depth map according to the difference/ratio of sharpness/blur between the second image and the third image, therefore wider range of resolving the object distance and accuracy of the image could be both considered.

Abstract: The present invention illustrates an automatic focusing method. Firstly, through multiple cameras of an image capturing device, a scene is captured, such that multiple images generated corresponding to the cameras are obtained. Then, multiple depth maps are generated according to the images. Next, according to the resolutions of single one or multiple objects in the depth maps, the depth information of the single one or multiple objects in the depth maps can be selected to generate a merged depth map. Then, a target focus distance of the single one object or target focus distances of multiple objects are calculated according to the merged depth map. Next, an actual focus distance of the multi-lenses module associated with the cameras is adjusted according to the target focus distance of the single one object or one of the multiple objects.

Abstract: The disclosure relates to a multi-camera imaging system, and a compensation method for image reconstruction. The main components of the multi-camera imaging system are an image capturing module having a multi-lens module and a multi-sensor module, and a distance adjustment unit automatically adjusting the distance between the multi-lens and multi-sensor modules. Note that the distance adjustment unit conducts compensation performed on the change of the system's focal length caused by temperature in the system. The multi-camera imaging system further includes a position-sensing module which is used to sense a displacement or change of the distance made by the distance adjustment unit. A set of image reconstruction parameters corresponding to the displacement or the change of distance is then provided.

Abstract: A focusing method includes the steps of calculating a diameter difference between a first circle of confusion diameter and a second circle of confusion diameter which correspond respectively to first image data and second image data associated respectively with light energy of a first spectrum and light energy of a second spectrum, generating a control signal associated with a target image distance according to an initial image distance, the diameter difference, and a lookup table, driving movement of a lens module so as to change a distance between the lens module and an image sensor from the initial image distance into the target image distance according to the control signal.

Abstract: An image capturing device includes a first image capturing module, a second image capturing module and a focusing and image processing module. The first image capturing module includes a plurality of first phase focusing detectors, and the field of view of the second image capturing module is smaller than the field of view of the first image capturing module. The plurality of the first phase focusing detectors are used for generating a plurality of first sets of optical sensing signals. When one of the plurality of the first sets of optical sensing signals are selected by the focusing and image processing module to provide a first focal signal according to the selected first set of optical sensing signal, the first image capturing module and the second image capturing module adjust respective focal distances according to the first focal signal.

Abstract: A focusing method includes the steps of calculating a diameter difference between a first circle of confusion diameter and a second circle of confusion diameter which correspond respectively to first image data and second image data associated respectively with light energy of a first spectrum and light energy of a second spectrum, generating a control signal associated with a target image distance according to an initial image distance, the diameter difference, and a lookup table, driving movement of a lens module so as to change a distance between the lens module and an image sensor from the initial image distance into the target image distance according to the control signal.

Abstract: A control method of a depth camera includes controlling first and second image sensors to detect light in a first wavelength range, generating a first depth map based on first and second images, subjecting one of the first and second images to edge-detection processing, controlling a light source to emit light in a second wavelength range when a number of edge pixels is determined to be smaller than a preset pixel number, controlling the second image sensor to detect light in the second wavelength range, generating a second depth map based on a third image, subjecting the first and the second depth maps to image fusion processing, and registering a fused depth map with one of the first and second images to generate 3D point cloud data.

Abstract: A gesture recognition system is disclosed. The gesture recognition system comprises at least one lighting module, at least one angle detecting module, an image capturing module and a gesture information control module. The lighting module is used for emitting a light. The angle detecting module receives a reflected light of the light and accordingly outputs a light sensing signal. The image capturing module is used for capturing at least one 2-D reference image for at least one hand of the user. The distance between the angle detecting module and the image capturing module is a fixed length. The gesture information control module acquires a plurality of angle data according to the light sensing signal and the 2-D reference image to calculate at least one depth data for at least one hand according to the plurality of angle data and the fixed length, so as to recognize the gestures.

Abstract: An image capturing device includes a first image capturing module, a second image capturing module and a focusing and image processing module. The first image capturing module includes a plurality of first phase focusing detectors, and the field of view of the second image capturing module is smaller than the field of view of the first image capturing module. The plurality of the first phase focusing detectors are used for generating a plurality of first sets of optical sensing signals. When one of the plurality of the first sets of optical sensing signals are selected by the focusing and image processing module to provide a first focal signal according to the selected first set of optical sensing signal, the first image capturing module and the second image capturing module adjust respective focal distances according to the first focal signal.

Abstract: An image capturing system comprises a first image capturing module, a second image capturing module and a depth map processing/generating device. The first image capturing module having a first lens, a first aperture and a first image sensor generates a first image corresponding to a first optical-wavelength range. The second image capturing module having a second lens, a second aperture, a third aperture and a second image sensor generates a second image of the first optical-wavelength range and a third image of a second optical-wavelength range. The depth map processing/generating device generates a first depth map according to the parallax of the scene observed in the first image and the second image, and generates a second depth map according to the difference/ratio of sharpness/blur between the second image and the third image, therefore wider range of resolving the object distance and accuracy of the image could be both considered.

Abstract: The disclosure relates to a multi-camera imaging system, and a compensation method for image reconstruction. The main components of the multi-camera imaging system are an image capturing module having a multi-lens module and a multi-sensor module, and a distance adjustment unit automatically adjusting the distance between the multi-lens and multi-sensor modules. Note that the distance adjustment unit conducts compensation performed on the change of the system's focal length caused by temperature in the system. The multi-camera imaging system further includes a position-sensing module which is used to sense a displacement or change of the distance made by the distance adjustment unit. A set of image reconstruction parameters corresponding to the displacement or the change of distance is then provided.

Abstract: A gesture recognition system is disclosed. The gesture recognition system comprises at least one lighting module, at least one angle detecting module, an image capturing module and a gesture information control module. The lighting module is used for emitting a light. The angle detecting module receives a reflected light of the light and accordingly outputs a light sensing signal. The image capturing module is used for capturing at least one 2-D reference image for at least one hand of the user. The distance between the angle detecting module and the image capturing module is a fixed length. The gesture information control module acquires a plurality of angle data according to the light sensing signal and the 2-D reference image to calculate at least one depth data for at least one hand according to the plurality of angle data and the fixed length, so as to recognize the gestures.

Abstract: The present invention illustrates an automatic focusing method. Firstly, through multiple cameras of an image capturing device, a scene is captured, such that multiple images generated corresponding to the cameras are obtained. Then, multiple depth maps are generated according to the images. Next, according to the resolutions of single one or multiple objects in the depth maps, the depth information of the single one or multiple objects in the depth maps can be selected to generate a merged depth map. Then, a target focus distance of the single one object or target focus distances of multiple objects are calculated according to the merged depth map. Next, an actual focus distance of the multi-lenses module associated with the cameras is adjusted according to the target focus distance of the single one object or one of the multiple objects.

Abstract: An optical touch panel and a method of detecting touch point positions on an optical touch panel are provided. The optical touch panel includes a processing unit, and at least three optical detectors divided into at least two detector groups. Each of the optical detectors is configured to output a signal indicating intensities of light detected thereby, and is associated with a detection range. The processing unit is configured to receive the signals from the optical detectors, to determine which of the optical detectors detect touch points within the respective detection range according to the signals received by the processing unit, and to obtain an optimum set of coordinates for at least one of the touch points with respect to an optimum detector group which is one of the detector groups formed by the optical detectors that detect the touch points.

Abstract: A camera and an image capturing method with anti-flicker capability. The camera has a camera sensor and an image signal processor. The camera sensor captures first and second image data separated by a time delay which depends on a flicker period of background illumination. The image signal processor differentiates the first and the second image data along rows to obtain first and second differentiated image data, respectively, normalizes the first and second image data to obtain for each column an oscillation amplitude, normalizes the first and second differentiated image data to obtain for each column an oscillation amplitude, and obtains flicker-eliminated image data based on the first and second image data, the first and second differentiated image data, and the oscillation amplitudes obtained from normalizing the first and second image data and the oscillation amplitudes obtained from normalizing the first and second differentiated image data.

Abstract: A camera and an image capturing method with anti-flicker capability. The camera has a camera sensor and an image signal processor. The camera sensor captures first and second image data separated by a time delay which depends on a flicker period of background illumination. The image signal processor differentiates the first and the second image data along rows to obtain first and second differentiated image data, respectively, normalizes the first and second image data to obtain for each column an oscillation amplitude, normalizes the first and second differentiated image data to obtain for each column an oscillation amplitude, and obtains flicker-eliminated image data based on the first and second image data, the first and second differentiated image data, and the oscillation amplitudes obtained from normalizing the first and second image data and the oscillation amplitudes obtained from normalizing the first and second differentiated image data.

Abstract: A flicker detection method of an image sensing device is disclosed. The image sensing device includes a sensor and a processor. The method comprises steps of: sequentially detecting multiple frames according to a frame rate, wherein each of the multiple frames includes a light signal; generating a light intensity information based on the light signals; determining a sampling window according to a predetermined detection frequency and the frame rate; dividing the light intensity information into multiple light intensity groups according to the sampling window; distinguishing a feature of each light intensity group, and recording an index position of each feature of the light intensity groups; calculating, individually, a difference between the index positions of the adjacent light intensity groups; and determining whether the differences are patterned, in order to determine whether the light intensity information corresponds to a flicker.

Abstract: A coordinate information correction method for an optical touch panel includes: a) determining a set of to-be-corrected included angle values according to output signals received from light detectors, each of the to-be-corrected included angle values representing an included angle between a base line and a connecting line that extends from a respective one of the light detectors to a location of an object in a light curtain region; b) calculating a set of correction values, each of which is a finite order function of a respective one of the to-be-corrected included angle values; c) calculating a set of corrected included angle values from the set of to-be-corrected included angle values and the set of correction values; and d) generating corrected coordinate information associated with the location of the object in the light curtain region from the corrected included angle values.