Abstract: A camera module includes a substrate, an image sensor disposed on the substrate, a housing to accommodate the image sensor, a filter configured to block an infrared wavelength of light incident on the image sensor and disposed on the housing, a gap maintaining member to maintain a gap between the substrate and the bottom housing, and a sealing member to connect the substrate to the housing and to surround the image sensor.

Abstract: A camera module includes a substrate, an image sensor disposed on the substrate, a housing to accommodate the image sensor, a filter configured to block an infrared wavelength of light incident on the image sensor and disposed on the housing, a gap maintaining member to maintain a gap between the substrate and the bottom housing, and a sealing member to connect the substrate to the housing and to surround the image sensor.

Abstract: A camera module includes: a housing including an accommodating space configured to accommodate a lens part, the housing including an upper surface and a first opening in the upper surface configured to expose the lens part; a seating part recessed in a portion of a lower surface of the housing and including a second opening configured to allow light incident to the lens part to pass therethrough; a protrusion part protruding from the seating part in a downward direction of the housing; and an infrared cut-off filter including a through-hole in a position corresponding to a position of the protrusion part such that the protrusion part is inserted into the through-hole and the infrared cut-off filter is seated in the seating part.

Abstract: A camera module includes: a housing; a lens barrel coupled to or disposed in the housing; an infrared filter fixed to the housing; and a blocking layer disposed on the infrared filter, wherein a width of a corner region of the blocking layer and a width of a central region of the blocking layer are different from each other.

Abstract: A method of providing a reference image and an image capturing device to which the method is applied. The method includes displaying a reference image and a captured image in first and second areas, respectively, on a single display screen; and displaying a first GUI including image capturing information on the reference image on one side of the first area and a second GUI including image capturing information on the captured image on one side of the second area. A user can easily and effectively capture an image by using the reference image.

Abstract: A 3D contents data encoding method includes receiving a plurality of primitive data contained in 3D contents data, and encoding each of the received primitive data in accordance with a predetermined encoding order for the primitive data.

Abstract: An apparatus for 3D mesh compression based on quantization, includes a data analyzing unit (510) for decomposing data of an input 3D mesh model into vertices information (511) property information (512) representing property of the 3D mesh model, and connectivity information (515) between vertices constituting the 3D mesh model: and a mesh model quantizing unit (520) for producing quantized vertices and property information of the 3D mesh model by using the vertices, property and connectivity information (511, 512, 513). Further, the apparatus for 3D mesh compression based on quantization includes a decision bit encoding unit (535) for calculating a decision bit by using the quantized connectivity information and then encoding the quantized vertex information, property information and connectivity information (511, 512, 513) by using the decision bit.

Abstract: A method of providing a reference image and an image capturing device to which the method is applied. The method includes displaying a reference image and a captured image in first and second areas, respectively, on a single display screen; and displaying a first GUI including image capturing information on the reference image on one side of the first area and a second GUI including image capturing information on the captured image on one side of the second area. A user can easily and effectively capture an image by using the reference image.

Abstract: There is provided a method of performing auto white balance including: setting a plurality of sections of a whole range of a value of each of Y, Cb, and Cr in the YCbCr color space, according to a size of each value; calculating an accumulated Y, Cb, and Cr value of pixels included in each of the plurality of sections; determining effective sections according to the number of the pixels included in each of the plurality of sections; calculating a mean Y, Cb, and Cr value of pixels included in all of the effective sections by using the accumulated Y, Cb, and Cr value of each of the effective sections; calculating a mean RGB value by converting the mean Y, Cb, and Cr value into an RGB color space; and determining an RGB color gain of a Bayer image outputted from an image sensor by using the mean RGB value.

Abstract: An apparatus for compressing low-complexity 3D mesh, includes: a data analyzing unit for decomposing data of an input 3D mesh model into vertices information, property information representing property of the 3D mesh model, and connectivity information between vertices constituting the 3D mesh model; a mesh model quantizing unit for producing quantized vertices, property and connectivity information of the 3D mesh model by using the vertices, property and connectivity information; and a sharable vertex analysis unit for analyzing sharing information between shared vertices of the 3D mesh model. Further, the apparatus includes a data modulation unit for performing a circular DPCM prediction by using quantized values of the consecutive connectivity information of the 3D mesh model; and an entropy encoding unit for outputting coded data of the quantized vertices and property information, and differential pulse-code modulated connectivity information as a bitstream.

Abstract: An apparatus for 3D mesh compression based on quantization, includes a data analyzing unit (510) for decomposing data of an input 3D mesh model into vertices information (511) property information (512) representing property of the 3D mesh model, and connectivity information (515) between vertices constituting the 3D mesh model: and a mesh model quantizing unit (520) for producing quantized vertices and property information of the 3D mesh model by using the vertices, property and connectivity information (511, 512, 513). Further, the apparatus for 3D mesh compression based on quantization includes a decision bit encoding unit (535) for calculating a decision bit by using the quantized connectivity information and then encoding the quantized vertex information, property information and connectivity information (511, 512, 513) by using the decision bit.

Abstract: A 3D contents data encoding method includes receiving a plurality of primitive data contained in 3D contents data, and encoding each of the received primitive data in accordance with a predetermined encoding order for the primitive data.

Abstract: There is provided a method of performing auto white balance including: setting a plurality of sections of a whole range of a value of each of Y, Cb, and Cr in the YCbCr color space, according to a size of each value; calculating an accumulated Y, Cb, and Cr value of pixels included in each of the plurality of sections; determining effective sections according to the number of the pixels included in each of the plurality of sections; calculating a mean Y, Cb, and Cr value of pixels included in all of the effective sections by using the accumulated Y, Cb, and Cr value of each of the effective sections; calculating a mean RGB value by converting the mean Y, Cb, and Cr value into an RGB color space; and determining an RGB color gain of a Bayer image outputted from an image sensor by using the mean RGB value.

Abstract: An auto white balance method includes converting a color space of an input image from an RGB color space into the Commission International de I'Eclairage (CIE) L*a*b* color space, determining at least a portion of pixels of the input image, assumed that a reference white color is changed, in a range of a predetermined L*a*b* value as pixels to be used for estimating the reference white color, determining averages of an L* value, an a* value, a b* value of the determined pixels to be used for estimating the reference white color as a reference white color estimation value, and calculating a color gain to move the reference white color estimation value to a target value for a predetermined white balance.