Abstract: A method for generating an orientation image, adapted to an electronic device, includes the following steps. A plurality of input pixels including a current input pixel of an input image is received. Edge detection is performed on the current input pixel in a first and second direction to generate a first current gradient and a second current gradient respectively with respect to the first direction and the second direction. A ratio of the first current gradient to a current gradient absolute sum is calculated to obtain a current ratio, where the current gradient absolute sum is a sum of absolute values of the first and second current gradient. A sign of the second current gradient is extracted to obtain a current sign. The current ratio and the current sign are inputted to a lookup table to obtain an image orientation angle corresponding to the current input pixel.

Abstract: An image capturing device and a method for calibrating image deformation thereof are provided. The image capturing device has a first image sensor and a second image sensor and the method includes following steps. A plurality of image groups are captured through the first image sensor and the second image sensor. Each of the image groups includes a first image and a second image, and the image groups include a reference image group. Whether an image deformation occurs on a first reference image and a second reference image in the reference image group is detected. If it is detected that the image deformation occurs on the reference image group, a current calibration parameter is updated according to a plurality of feature point comparison values corresponding to the image groups. The current calibration parameter is used for performing an image rectification on each of the first images and the second images.

Abstract: A method for calibrating image defection of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is defective. When the reference image set is detected to be defective, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets.

Abstract: A method for calibrating image deformation of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is deformed. When the reference image set is detected to be deformed, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets.

Abstract: An object detection system including a storage unit, image acquisition module, feature searching module, calculation module, and confirmation module is provided. The image acquisition module obtains a first, second, and third image respectively corresponding to a first, second, and third timepoint of a video sequence from the storage unit, where time difference between the first and second timepoint is less than or equal to that between the second and third timepoint. The feature searching module searches for at least one feature from the first image. When the feature is within a near-distance detected region, the calculation module calculates a motion vector of the feature according to the first and second image; otherwise, it calculates the motion vector of the feature according to the third and one of the first and second image. The confirmation module confirms the existence of a moving object according to the motion vector of the feature.

Abstract: A method for generating an orientation image, adapted to an electronic device, includes the following steps. A plurality of input pixels including a current input pixel of an input image is received. Edge detection is performed on the current input pixel in a first and second direction to generate a first current gradient and a second current gradient respectively with respect to the first direction and the second direction. A ratio of the first current gradient to a current gradient absolute sum is calculated to obtain a current ratio, where the current gradient absolute sum is a sum of absolute values of the first and second current gradient. A sign of the second current gradient is extracted to obtain a current sign. The current ratio and the current sign are inputted to a lookup table to obtain an image orientation angle corresponding to the current input pixel.

Abstract: An obstacle detection device is provided, which includes a storage unit, a quasi-vertical edge detection module, an intersection determination module, a position determination module, and an obstacle detection module. The quasi-vertical edge detection module receives an input image and performs a quasi-vertical edge detection procedure on the input image to obtain a plurality of quasi-vertical edges. The intersection determination module determines whether the quasi-vertical edges intersect a predetermined virtual horizontal. If one of the quasi-vertical edges intersects the predetermined virtual horizontal, the position determination module determines whether an end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in a detection zone. If one end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in the detection zone, the obstacle detection module determines that an obstacle exists and issues a warning.

Abstract: An object detection system including a storage unit, image acquisition module, feature searching module, calculation module, and confirmation module is provided. The image acquisition module obtains a first, second, and third image respectively corresponding to a first, second, and third timepoint of a video sequence from the storage unit, where time difference between the first and second timepoint is less than or equal to that between the second and third timepoint. The feature searching module searches for at least one feature from the first image. When the feature is within a near-distance detected region, the calculation module calculates a motion vector of the feature according to the first and second image; otherwise, it calculates the motion vector of the feature according to the third and one of the first and second image. The confirmation module confirms the existence of a moving object according to the motion vector of the feature.

Abstract: An obstacle detection device is provided, which includes a storage unit, a quasi-vertical edge detection module, an intersection determination module, a position determination module, and an obstacle detection module. The quasi-vertical edge detection module receives an input image and performs a quasi-vertical edge detection procedure on the input image to obtain a plurality of quasi-vertical edges. The intersection determination module determines whether the quasi-vertical edges intersect a predetermined virtual horizontal. If one of the quasi-vertical edges intersects the predetermined virtual horizontal, the position determination module determines whether an end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in a detection zone. If one end of one of the quasi-vertical edges intersecting the predetermined virtual horizontal is located in the detection zone, the obstacle detection module determines that an obstacle exists and issues a warning.

Abstract: A method for calibrating image deformation of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is deformed. When the reference image set is detected to be deformed, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets.

Abstract: An image capturing device and a method for calibrating image deformation thereof are provided. The image capturing device has a first image sensor and a second image sensor and the method includes following steps. A plurality of image groups are captured through the first image sensor and the second image sensor. Each of the image groups includes a first image and a second image, and the image groups include a reference image group. Whether an image deformation occurs on a first reference image and a second reference image in the reference image group is detected. If it is detected that the image deformation occurs on the reference image group, a current calibration parameter is updated according to a plurality of feature point comparison values corresponding to the image groups. The current calibration parameter is used for performing an image rectification on each of the first images and the second images.

Abstract: A method for calibrating image defection of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is defective. When the reference image set is detected to be defective, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets.

Abstract: The invention provides a flash light device, which includes a light source, a light diffuser and a light diffuser's driving unit. The light diffuser's driving unit provides the light diffuser with a required driving voltage according to a voltage information, in which the voltage information is determined according to an original image without light-complementing of the light source and a pre-flash image with light-complementing of the light source.

Abstract: An auto-focus (AF) method adapted for an image capturing device includes following steps. When a first press signal generated by a user pressing a button of the image capturing device is detected, a local peak searching method is applied to perform an AF procedure. It is determined whether a second press signal generated by the user pressing the button is detected. If not, it is determined whether a first released signal generated by the user releasing the button is detected. The continuous pressing count is calculated according to the first released signal and the first press signal that are continuously generated. Whether the continuous pressing count is greater than a first threshold is determined. If yes, a global peak searching method is applied to perform the AF procedure. If not, the local peak searching method is still applied to perform the AF procedure.

Abstract: An auto-focus (AF) method adapted for an image capturing device includes following steps. When a first press signal generated by a user pressing a button of the image capturing device is detected, a local peak searching method is applied to perform an AF procedure. It is determined whether a second press signal generated by the user pressing the button is detected. If not, it is determined whether a first released signal generated by the user releasing the button is detected. The continuous pressing count is calculated according to the first released signal and the first press signal that are continuously generated. Whether the continuous pressing count is greater than a first threshold is determined. If yes, a global peak searching method is applied to perform the AF procedure. If not, the local peak searching method is still applied to perform the AF procedure.

Abstract: A voltage-controlled light diffusing module, a flash lamp module and a controlling method thereof are provided. The voltage-controlled light diffusing module includes a light diffuser, a driving circuit and an information processing unit. The information processing unit receives face information for deciding a driving voltage of the driving circuit, so as to change transmission of the light diffuser.

Abstract: The invention provides a flash light device, which includes a light source, a light diffuser and a light diffuser's driving unit. The light diffuser's driving unit provides the light diffuser with a required driving voltage according to a voltage information, in which the voltage information is determined according to an original image without light-complementing of the light source and a pre-flash image with light-complementing of the light source.

Abstract: An automatic focusing method and device in a high-noise environment are used for determining a focusing distance between a digital imaging device and an object to be photographed. The automatic focusing method includes the steps of capturing M pre-photographed images at different object distances respectively; loading the pre-photographed images; superposing every N (N<M) pre-photographed images to create (M?N+1) composite images; redefining the object distances corresponding to the (M?N+1) composite images; calculating high-frequency signals in the focusing regions of the (M?N+1) composite images; determining an optimum focusing object distance based on the relation between the high-frequency signals and corresponding object distances; and adjusting an automatic focusing lens to the optimum focusing object distance and accomplishing focusing.

Abstract: A three-dimensional (3D) image generating device including a first memory unit, a first (master) processor, and a second (slave) processor is provided. The first processor and the second processor respectively include a first image processing unit and a second image processing unit. The first processor further includes a data access unit. The first image processing unit and the second image processing unit respectively receive images representing a first human eye and a second human eye and generate a first image and a second image through image processing. The data access unit receives the first image from the first image processing unit and writes it into the first memory unit according to a predetermined 3D image format. The second image processed by the second image processing unit is transmitted to the data access unit and written into the first memory unit according to the predetermined 3D image format.

Abstract: A voltage-controlled light diffusing module, a flash lamp module and a controlling method thereof are provided. The voltage-controlled light diffusing module includes a light diffuser, a driving circuit and an information processing unit. The information processing unit receives face information for deciding a driving voltage of the driving circuit, so as to change transmission of the light diffuser.