Abstract: A shaping method for performing shaping by sequentially stacking a shaping material on a stage on the basis of slice data, the shaping method includes: a step of obtaining slice data by slicing data on a three-dimensional model of a shaping target into a plurality of layers in a predetermined direction; and a step of sequentially stacking the shaping material on the basis of the obtained slice data for the plurality of layers, wherein in a case where a change instruction to change the data on the three-dimensional model of the shaping target is received during shaping, a processing process corresponding to the change instruction is performed on remaining slice data to be used for the shaping after the change instruction among the slice data for the plurality of layers, and the shaping is continued using the remaining slice data after the processing process.

Abstract: An information processing method for generating slice data in a shaping apparatus configured to manufacture a three-dimensional object including a shaping object by sequentially stacking shaping materials based on the slice data generated for each layer, the information processing method including the steps of: acquiring cross-sectional data; judging the presence/absence of a support required region; determining a type of the support to be disposed in the support required region; and generating, as the slice data of a target layer, image data including a structure region indicating the cross-section of the shaping object in the target layer and a support region indicating the cross-section of the support.

Abstract: A method for manufacturing a three-dimensional object, the method comprises, a step of forming the three-dimensional object including a structure and a support body; a step of removing the support body from the three-dimensional object; wherein the step of forming the three-dimensional object comprising: a step of generating slice data of the three-dimensional object; a step of stacking a structural material constituting the structure and a support material constituting the support body based on the slice data; and the support material which is stacked based on the slice data has weakened parts dividing the support body into a plurality of parts.

Abstract: A shaping method for performing shaping by sequentially stacking a shaping material on a stage on the basis of slice data, the shaping method includes: a step of obtaining slice data by slicing data on a three-dimensional model of a shaping target into a plurality of layers in a predetermined direction; and a step of sequentially stacking the shaping material on the basis of the obtained slice data for the plurality of layers, wherein in a case where a change instruction to change the data on the three-dimensional model of the shaping target is received during shaping, a processing process corresponding to the change instruction is performed on remaining slice data to be used for the shaping after the change instruction among the slice data for the plurality of layers, and the shaping is continued using the remaining slice data after the processing process.

Abstract: An information processing method for generating slice data in a shaping apparatus configured to manufacture a three-dimensional object including a shaping object by sequentially stacking shaping materials based on the slice data generated for each layer, the information processing method including the steps of: acquiring cross-sectional data; judging the presence/absence of a support required region; determining a type of the support to be disposed in the support required region; and generating, as the slice data of a target layer, image data including a structure region indicating the cross-section of the shaping object in the target layer and a support region indicating the cross-section of the support.

Abstract: A method for manufacturing a three-dimensional object, the method comprises, a step of forming the three-dimensional object including a structure and a support body; a step of removing the support body from the three-dimensional object; wherein the step of forming the three-dimensional object comprising: a step of generating slice data of the three-dimensional object; a step of stacking a structural material constituting the structure and a support material constituting the support body based on the slice data; and the support material which is stacked based on the slice data has weakened parts dividing the support body into a plurality of parts.

Abstract: An image processing method and image processing apparatus which can execute vector conversion processing by appropriately dividing a clipart image including gradation into regions are provided. To this end, a color document image including a clipart image having an area of gradation is input, the clipart image is selected, and outline information of the clipart image is extracted. The color document image is separated into an achromatic color area and a chromatic color area, which are respectively divided into a plurality of regions. Of the plurality of regions of each of the achromatic color area and the chromatic color area divided in the dividing of region step, regions which meet a set condition are integrated. After that, the clipart image is converted into vector data using a region group after integrating of region and the outline information.

Abstract: An image processing method and image processing apparatus which can execute vector conversion processing by appropriately dividing a clipart image including gradation into regions are provided. To this end, a color document image including a clipart image having an area of gradation is input, the clipart image is selected, and outline information of the clipart image is extracted. The color document image is separated into an achromatic color area and a chromatic color area, which are respectively divided into a plurality of regions. Of the plurality of regions of each of the achromatic color area and the chromatic color area divided in the dividing of region step, regions which meet a set condition are integrated. After that, the clipart image is converted into vector data using a region group after integrating of region and the outline information.

Abstract: An image processing apparatus can generate a vector sequence representing each color region of a color image. The image processing apparatus divides the image into plural regions based on attribute information of the image, and extracts region boundary information relating to a boundary line between different regions. The image processing apparatus generates inter-edge point vector data for each boundary connecting a first edge point to a second edge point corresponding to intersections of boundaries between neighboring regions, based on the extracted region boundary information. The image processing apparatus identifies one or more inter-edge point vector data representing a boundary of each divided region based on the generated inter-edge point vector data, and generates individual region vector data.

Abstract: An image processing method and image processing apparatus which can execute vector conversion processing by appropriately dividing a clipart image including gradation into regions are provided. To this end, a color document image including a clipart image having an area of gradation is input, the clipart image is selected, and outline information of the clipart image is extracted. The color document image is separated into an achromatic color area and a chromatic color area, which are respectively divided into a plurality of regions. Of the plurality of regions of each of the achromatic color area and the chromatic color area divided in the dividing of region step, regions which meet a set condition are integrated. After that, the clipart image is converted into vector data using a region group after integrating of region and the outline information.

Abstract: An image processing method and image processing apparatus which can execute vector conversion processing by appropriately dividing a clipart image including gradation into regions are provided. To this end, a color document image including a clipart image having an area of gradation is input, the clipart image is selected, and outline information of the clipart image is extracted. The color document image is separated into an achromatic color area and a chromatic color area, which are respectively divided into a plurality of regions. Of the plurality of regions of each of the achromatic color area and the chromatic color area divided in the dividing of region step, regions which meet a set condition are integrated. After that, the clipart image is converted into vector data using a region group after integrating of region and the outline information.

Abstract: Disclosed is an image processing apparatus in which vector data from which noise has been removed and amount of data reduced can be generated in ideal fashion with regard to an illustration area selected from a document image. The document image is input to the apparatus and is segmented into a plurality of areas. A clip-art image is selected from these areas and a plurality of clusters are generated with regard to this image area. When a small area included in the plurality of clusters is determined as a noise, the noise is eliminated by combining the small area with a adjacent cluster. After noise is removed, the cluster group eventually obtained is converted to vector data.

Abstract: An image processing method and image processing apparatus which can execute vector conversion processing by appropriately dividing a clipart image including gradation into regions are provided. To this end, a color document image including a clipart image having an area of gradation is input, the clipart image is selected, and outline information of the clipart image is extracted. The color document image is separated into an achromatic color area and a chromatic color area, which are respectively divided into a plurality of regions. Of the plurality of regions of each of the achromatic color area and the chromatic color area divided in the dividing of region step, regions which meet a set condition are integrated. After that, the clipart image is converted into vector data using a region group after integrating of region and the outline information.

Abstract: An image processing apparatus, image processing method, and program which enable generation of vector data capable of replicating a clipart region of a raw image as faithfully as possible are provided. To accomplish this, a raw image is segmented into region images according to attributes. From the segmented region images, a region image having a predetermined attribute is cut out from the raw image. At least one representative color which configures the predetermined region image is decided based on an appearance color of the cut out predetermined region image. A color image having the decided representative color is extracted from the predetermined region image. A contour line of the extracted color image is extracted. An edge image within the predetermined region image is extracted. The extracted contour line is corrected based on the extracted edge image. Using the corrected contour line, vector data of the predetermined region image is generated.

Abstract: According to this invention, encoded data of a target data amount is generated by one image input operation while both lossless encoding and lossy encoding are adopted. For this purpose, a first memory stores encoded data of a shorter encode length among encoded data generated by a first encoding unit which performs lossy encoding and encoded data generated by a second encoding unit which performs lossless encoding. A second memory stores encoded data from a second encoding unit. When an encoding sequence control unit determines that the encoded data amount in the first memory has exceeded the target data amount, the encoding sequence control unit discards data in the first memory, sets a quantization parameter for a higher compression ratio for the first encoding unit, and causes the first encoding unit to execute encoding. Encoded data before the encoded data amount is determined to have exceeded the target data amount is re-encoded by a re-encoding unit.

Abstract: Disclosed is an image processing apparatus in which vector data from which noise has been removed and amount of data reduced can be generated in ideal fashion with regard to an illustration area selected from a document image. The document image is input to the apparatus and is segmented into a plurality of areas. A clip-art image is selected from these areas and a plurality of clusters are generated with regard to this image area. When a small area included in the plurality of clusters is determined as a noise, the noise is eliminated by combining the small area with a adjacent cluster. After noise is removed, the cluster group eventually obtained is converted to vector data.

Abstract: Disclosed is an image processing apparatus in which vector data from which noise has been removed and amount of data reduced can be generated in ideal fashion with regard to an illustration area selected from a document image. The document image is input to the apparatus and is segmented into a plurality of areas. A clip-art image is selected from these areas and a plurality of clusters are generated with regard to this image area. When a small area included in the plurality of clusters is determined as a noise, the noise is eliminated by combining the small area with a adjacent cluster. After noise is removed, the cluster group eventually obtained is converted to vector data.

Abstract: An image processing apparatus can generate a vector sequence representing each color region of a color image. The image processing apparatus divides the image into plural regions based on attribute information of the image, and extracts region boundary information relating to a boundary line between different regions. The image processing apparatus generates inter-edge point vector data for each boundary connecting a first edge point to a second edge point corresponding to intersections of boundaries between neighboring regions, based on the extracted region boundary information. The image processing apparatus identifies one or more inter-edge point vector data representing a boundary of each divided region based on the generated inter-edge point vector data, and generates individual region vector data.

Abstract: This invention can play back a smooth moving image in both normal and slow playback modes in consideration of the human visual recognition level, even when moving image data to be decoded (played back) is recorded (encoded) at a high frame rate. To this end, in this invention, respective frames, which form a moving image at 60 frames/sec, are compressed to be independently decodable. In the normal playback mode, since frames are played back using one of two frames (decimating one of two frames), a moving image is played back at 30 frames/sec which can assure sufficiently high image quality as a moving image. On the other hand, in the slow play back mode, since the number of frames to be decimated is set to be zero, and 60 frames are played back for 2 sec, a moving image is played back at the same frame rate of 30 frames/sec as that in the normal playback mode.

Abstract: An image processing method and image processing apparatus which can execute vector conversion processing by appropriately dividing a clipart image including gradation into regions are provided. To this end, a color document image including a clipart image having an area of gradation is input, the clipart image is selected, and outline information of the clipart image is extracted. The color document image is separated into an achromatic color area and a chromatic color area, which are respectively divided into a plurality of regions. Of the plurality of regions of each of the achromatic color area and the chromatic color area divided in the dividing of region step, regions which meet a set condition are integrated. After that, the clipart image is converted into vector data using a region group after integrating of region and the outline information.