Abstract: The present invention discloses a game doll recognition system, a recognition method, and a game system using the same. The game doll recognition system is capable of recognizing a plurality of game dolls; it includes: a data storage unit storing identification data of the game dolls; an image capturing unit capturing at least one picture of an game doll to be recognized; a processor comparing the identification data with at least a part of the picture to verify the identity of the game doll to be recognized in the picture; and a display unit showing the identity of the game doll to be recognized.

Abstract: An electronic system comprises an image-sensing device and a processor coupled with the image-sensing device. The image-sensing device includes an image-sensing area configured to generate a picture. The picture includes a noisy region. The processor is configured to select a tracking region from the portion of the picture outside of the noisy region. The tracking region corresponds to an operative region of the image sensing area.

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: An optical tracking device includes a light source, an image sensor and a processing unit. The light source emits light at a lighting frequency. The image sensor outputs an operating image when the light source is being turned on and outputs a background image when the light source is being turned off. The processing unit is configured to obtain background information from the background image, calculate a differential image of the operating image and the background image, obtain object information from the differential image and compare the background information and the object information thereby removing background noise.

Abstract: An image determining method, for determining which pixels in an image are specific image pixels of a specific image, comprising: (a) determining which pixels in the image have brightness values larger than a threshold value; (b) determining the pixels having brightness values larger than the threshold value as the specific image pixels; and determining pixels in a predetermined range of at least one the specific image pixel as the specific image pixels as well.

Abstract: A position detecting system, which comprises: a position information providing apparatus, comprising a light emitting-out side, having at least one position information region distributed on an outer surface of the light emitting-out side, wherein light has position information from the position information region when the light emits out from at least part of the light emitting-out side; a transceiver, for receiving the light with the position information; and a processor, for determining a relative position between the transceiver and the position information providing apparatus according to the position information received by the transceiver.

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.

Abstract: A storage media provided by the present invention, has a non-transitory processing software for computing a position of an object in a distance measurement system, the execution of the processing software comprising: receiving a plurality of reference image information contained in an image with a speckle pattern, wherein the image is projected from a light beam on a plurality of reference flat surfaces which are located on different position points, and the speckle contains a plurality of speckles; receiving an object image information contained in an image with the speckle pattern which is projected from the light beam on an object; obtaining a plurality of comparison results through comparing the plurality of reference image information with the object image information; and computing the position of the object through performing an interpolation operation to the plurality of comparison results.

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: An optical detecting apparatus, which comprises: a detecting surface; a first light source, for providing light parallel to the detecting surface; an image sensor, for detecting an object close to the detecting surface, to generate object image data; and an object location determining apparatus, for computing location information of the object according to the object image.

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: There is provided an image positioning method including the steps of: capturing an image frame with an image sensor; identifying at least on object image in the image frame; comparing an object image size of the object image with a size threshold and identifying the object image having the object image size larger than the size threshold as a reference point image; and positioning the reference point image. There is further provided an interactive imaging system.

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 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 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: An image reading device and an image reading system for recognizing a first image in a selected area on an object are provided. The selected area includes a first portion and a second portion, wherein the first portion is coated with an invisible ink, which is capable of absorbing the first light with a wavelength of invisible light, while the second portion is capable of reflecting the second light with the wavelength of invisible light. The image reading device comprises a main body and an optical element disposed on the main body. The optical element receives the second light corresponding to the second portion to recognize the first image corresponding to the first portion. The image reading system further comprises a processing device which is configured to resolve the first image into corresponding information content.

Abstract: This invention provides several touch input apparatuses and operating methods. One touch input apparatus includes two carbon nanotube (CNT) layers, a plurality of contact pads and a processing circuit. The CNTs of the two CNT layers are respectively disposed to two different arrangement directions. The contact pads are divided into two groups to electrically connect the edges of the two CNT layers respectively. Each group of the contact pads is arranged in a direction perpendicular to the arrangement direction of the corresponding carbon nanotubes. The processing circuit provides a comparison voltage to one group of the contact pads and reads out the voltages on the other contact pads. When one CNT layer receives an external force so that the forced position on one CNT layer is electrically connected to the other CNT layer, the processing circuit calculates the strength of the external force according to the readout voltage values.

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 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.