Abstract: An image sensor includes a sensor matrix including a plurality of sensing elements and a plurality of shutter control lines. Each sensing element includes an electronic shutter and a photo-detector, wherein the electronic shutter controls the exposure time of the photo-detector. Each shutter control line couples to a row or column of the electronic shutters, whereby different rows or columns of the electronic shutters can be independently controlled, and the photo-detectors in the same row or column can have the same exposure time.

Abstract: An image sensing module utilizes an image sensor to sense objects and a mirror image of the objects in a mirror through a plurality of first light filtering components with a first transmission spectrum and a plurality of second light filtering components with a second transmission spectrum for generating an image. A light filtering module substantially having the first transmission spectrum is disposed in front of the mirror. The image includes a plurality of pixels. Each pixel includes a first sub data and a second sub data. The image sensing module utilizes an image sensing controller to detect real images corresponding to the objects and virtual images correspond to the mirror image of the objects from the image according to the first sub data and the second sub data of the plurality of pixels.

Abstract: A distance measuring system includes a light source module, an image capturing device and a processing module. The light source module transmits a light beam having a speckle pattern to a first flat surface and a second flat surface, and an object. The image capturing device captures the image of the speckle pattern shown on the first and second flat surfaces, and captures the image of the speckle pattern shown on a surface of the object to produce a first reference image information, a second reference image information, and an object image information. The processing module calculates a displacement vector of the speckle pattern according to the first and second reference image information. The processing module calculates the relative distance between the object and the first flat surface or the second flat surface according to the position of the speckle pattern on the object image information and the displacement vector.

Abstract: A distance measurement system provided by the present invention comprises a light source module, for projecting a light beam having a speckle pattern to a plurality of reference flat surfaces and an object which are located at different position points, so as to show an image of the speckle pattern on each of the reference flat surface and the object. The speckle pattern contains a plurality of speckles. The invention generates a plurality of reference image information through capturing the image of the speckle pattern on each of the plurality of reference flat surfaces and generates an object image information through capturing the image of the speckle pattern on the object. The Invention further generates a plurality of comparison results through comparing the plurality of reference image information, and computes the position of the object through performing an interpolation operation to generate the plurality of comparison results.

Abstract: A distance measurement method comprising: projecting a light beam having a speckle pattern to at least one reference plane to show a plurality of images with the speckle pattern on the at least one reference plane. The speckle pattern has a plurality of speckles, so as to capture the image with the speckle pattern on the reference plane to obtain a plurality of reference image information. When the object enters the area illuminated by a light source module, an image with the speckle pattern on a surface of an object is captured to obtain an object image information. Then, a plurality of brightness relationships among each of the speckles with adjacent speckles rounding each speckle are computed according to the reference image and the object image information to obtain relative brightness information of each speckle, which is used to compute position of the object.

Abstract: A distance measurement system and method are provided. The distance measurement method first projects a light beam with a speckle pattern to reference planes and an object to allow the reference planes and a surface of the object each have an image of the speckle pattern, the speckle pattern having a plurality of speckles. Next, images of the speckle pattern reflected by the reference planes are captured to generate reference image information, and an image of the speckle pattern reflected by the surface of the object is captured to generate an object image information. A processing module which may be a processing software can compare the object image information with the reference image information to obtain several similarity scores. If the most the most similarity score is greater than a threshold value, the processing module identifies the corresponding reference plane, thereby computing the position of the object.

Abstract: A method for controlling a host apparatus, includes steps of the followings. First, a pattern is projected to a detection region. Second, images of the detection region are captured and image information stream is generated based on the images. Third, an image information associated with the pattern is identified to be a background image information. Fourth, a currently captured image information is subtracted to the background image information to identify if an object appears in the detection region. Fifth, a motion of the identified object is determined based on a variation of the pattern reflected from the identified object to generate a control instruction to the host apparatus. A host apparatus, an interaction control system and a method for detecting a motion of an object are also provided.

Abstract: Optical touch display system includes a light source, a reflector, an image sensor, and a processing device. The light source emits light to at least one object directly and emits light to the at least one object via the reflector at the same time. Then the image sensor receives light reflected from the at least one object directly and light reflected via the reflector simultaneously to form a set of imaging objects which have similar color parameters on an image. Then the processing device produces a set of still image parameters of the image objects such as gravity centers and border boundaries. Based on the still image parameters, the processing device determines the coordinates of the least one object on the optical touch display.

Abstract: A distance measuring device having a measuring range and configured for measuring a distance of at least an object located in the measuring range is provided. The distance measuring device includes a light emitting component, a diffusing component, an adjusting component and an image sensing component. The light emitting component is configured for emitting a light beam. The diffusing component is disposed on a transmission path of the light beam and is configured for transforming the light beam into a measuring light beam with a specific pattern to irradiate the object. The adjusting component is configured for adjusting an incidence angle and an incidence location of the light beam striking at the diffusing component. The image sensing component has a field of view covering the measuring range. The distance measuring device has a far measurable distance. A method for measuring distance and another distance measuring device are also provided.

Abstract: When an object touches a touch panel, a projection light source projects a predetermined image including image information and forms an object image having the image information on a surface of the object. An image sensor captures a reflection image including the object image. Then, an angle is calculated according to an image location of the object in the reflection image and a relative position of predetermined axis, and a distance between the object and the image sensor is calculated by comparing the predetermined image with the location, size and/or phase of the image information of the reflection image so as to determine a coordinate of the object on the touch panel according to the angle and the distance.

Abstract: A method for adjusting an exposure condition of an optical sensor module includes the following steps, (A) receiving reflected light reflected by a working surface; (B) generating an image signal by exposing the optical sensor module to the reflected light, in which the image signal includes a plurality of luminance signals and an image quality signal; (C) setting an exposure condition of the optical sensor module according to part of the luminance signals; (D) repeating Step (B) and Step (C) under different exposure conditions so that the optical sensor module generates a plurality of image quality signals; and (E) setting an optimal exposure condition corresponding to the working surface according to the image quality signals under the different exposure conditions. The optical sensor module is applicable to a pointing device.

Abstract: An image processing method is applicable to a pointing device. The pointing device generates a displacement signal by moving relative to a working surface and detecting an image of a part of the working surface. The method includes the following steps. A first original image is obtained. The first original image is uniformly divided into a plurality of blocks. A block brightness value of each block is adjusted. A complexity signal representing a plurality of gradient values of each block is generated. The blocks are sequentially adjusted according to the adjusted block brightness value and complexity signal, so as to generate a first adjusted image corresponding to the first original image.

Abstract: A resistive touch controlling system includes a first sensing module, a second sensing module and a processing circuit. The first sensing module includes a plurality of sensing line groups. The processing circuit is electrically coupled to the first sensing module and the second sensing modules. When the first sensing module senses at least two touch points, the processing circuit takes a combination of touch points sensed by the first and second sensing modules as a first candidate list. After that, the processing circuit turns off some of the sensing line groups of the first sensing module sensing one of the sensed touch points, and takes a touch point(s) sensed by the first sensing module and the second sensing module as the second candidate list. Finally, the processing circuit compares the first candidate list with the second candidate list to determine a current touch sensing result.

Abstract: An image denoising method includes the steps of: sequentially selecting a pixel in an image as a current pixel; dynamically determining a current search block and a strength parameter; pre-denoising the comparison block of each pixel in the current search block; comparing the comparison block of the pre-denoised neighborhood pixel and the comparison block of the pre-denoised current pixel to obtain a similarity between each neighborhood pixel and the current pixel in the current search block; determining a weighting of each neighborhood pixel related to the current pixel according to the strength parameter, and a distance and the similarity between each neighborhood pixel and the current pixel in the current search block; and weighted averaging each neighborhood pixel and the current pixel in the current search block according to the weighting to obtain a reconstruction value of the current pixel.

Abstract: An image denoising method according to the present invention includes the steps of: sequentially selecting a pixel in an image as a current pixel; dynamically determining a current search block and a strength parameter; transferring the comparison block of each pixel in the current search block to a frequency domain; determining a current frequency basis; obtaining a similarity between each neighborhood pixel and the current pixel in the current search block according to the current frequency basis; determining a weighting of each neighborhood pixel related to the current pixel according to the strength parameter, and a distance and the current pixel in the current search block; and weighted averaging each neighborhood pixel and the current pixel in the current search block according to the weighting so as to obtain a reconstruction value of the current pixel.

Abstract: A dynamic image compression method for human face detection includes the following steps. An original image is acquired. The image is divided into a plurality of blocks. A first brightness and a plurality of gradient values of each block are calculated. A second brightness of each block is calculated according to a brightness transformation function and the first brightness. A reconstruction image is generated according to the second brightness and the plurality of gradient values of each block. Human face detection is performed according to the reconstruction image. Therefore, gradient values within an original square are. When the human face detection process is performed through gradient direction information, a success rate of detection is greatly increased.

Abstract: A shooting parameter adjustment method for face detection includes (A) acquiring an image; (B) dividing the image into a plurality of blocks, and calculating a brightness value of each of the blocks; (C) selecting at least one of the plurality of blocks, and adjusting a shooting parameter according to the brightness value of the selected block; and (D) acquiring another image according to the shooting parameter, and performing a face detection procedure with the another image. The shooting parameter adjustment method can automatically adjust a shooting parameter of an image capturing device according to brightness of different blocks in an image. Therefore, by using this method, the brightness of a face, no matter being too high or too low, can be adjusted to a value suitable for face detection, so as to improve the accuracy of the face detection procedure.

Abstract: A human face detection device includes a photosensitive element, a human face detection unit, and a skin color threshold generation unit. The photosensitive element is used for capturing a first image containing a first human face block. The human face detection unit compares the first image with at least one human face feature, so as to detect the first human face block. The skin color threshold generation unit is used for updating a skin color threshold value according to the detected first human face block. The skin color threshold value is used for filtering the first image signal to obtain a candidate region, the human face detection unit compares the candidate region with the at least one human face feature to obtain the first human face block, and the skin color threshold value determines whether the first human face block detected by the human face detection unit is correct.