Abstract: A three-dimensional model generation method executed by an information processing device includes: obtaining a first three-dimensional model from a measuring device that emits an electromagnetic wave and obtains a reflected wave which is the electromagnetic wave reflected by a measurement target to thereby generate a first three-dimensional model including first position information indicating first three-dimensional positions in the measurement target; obtaining a multi-viewpoint image generated by one or more cameras shooting the measurement target from different positions; and generating a second three-dimensional model by enhancing the definition of the first three-dimensional model using the multi-viewpoint image.

Abstract: This position estimation device of a moving body with n cameras for imaging the surrounding scene is provided with: an estimation unit which, for each of the n cameras, calculates a camera candidate position in a map space on the basis of the camera image position of a feature point in the scene extracted from the camera image and the map space position of said feature point pre-stored in the map data; and a verification unit which, with reference to said candidate positions, projects onto the camera image of each of the n cameras a feature point cloud in the scene stored in the map data, and calculates the accuracy of the candidate positions of the n cameras on the basis of the matching degree between the feature point cloud projected onto the camera image and a feature point cloud extracted from the camera images.

Abstract: A three-dimensional data encoding method includes: generating a bitmap for combined three-dimensional data that is a combination of pieces of three-dimensional data, the bitmap indicating which of the pieces of three-dimensional data a three-dimensional point belongs to, the three-dimensional point being a three-dimensional point of the combined three-dimensional data and included in a unit space; generating a conversion code using the bitmap; and generating encoded data including duplicated point information indicating a total number of three-dimensional points included in the unit space, and conversion code information indicating the conversion code. Each of values of the bitmap corresponds to a combination of the conversion code and the total number of the three-dimensional points included in the unit space.

Abstract: An information processing method is executed by a computer, and includes: obtaining a first image generated by a multi-pinhole camera; extracting at least one point spread function (PSF) in each of a plurality of regions in the first image; obtaining a second image different from the first image, and reference data used in machine learning for the second image; generating a third image, by convolving each of a plurality of regions in the second image with at least one PSF extracted in a corresponding region of the plurality of regions in the first image; and outputting a pair of the reference data and the third image.

Abstract: A three-dimensional data encoding method includes: determining a first maximum bit count for encoded data obtained after encoding at least one of (i) a divisional data unit obtained when point cloud data indicating a three-dimensional point cloud is divided or (ii) a point cloud data unit of the point cloud data before the dividing; and generating a bitstream by encoding (i) items of divisional data obtained by dividing the point cloud data or (ii) the point cloud data before the dividing, to satisfy the first maximum bit count determined. The bitstream includes first bit count information indicating the first maximum bit count.

Abstract: A three-dimensional data decoding method includes: obtaining three-dimensional space information including encoded three-dimensional points; calculating an angle formed by a line segment connecting a predetermined position in the three-dimensional space information and a first base point and a line segment connecting the first base point and a second base point different from the first base point; determining whether the angle calculated satisfies a predetermined condition; and decoding the encoded three-dimensional points included in the three-dimensional space information when the angle calculated is determined to satisfy the predetermined condition, and not decoding the encoded three-dimensional points included in the three-dimensional space information when the angle calculated is determined not to satisfy the predetermined condition.

Abstract: A three-dimensional data encoding method includes: encoding three-dimensional points each located in any one of a plurality of regions, on a per region basis, to generate encoded three-dimensional points; generating connectivity information generated based on a relationship between a first region among the plurality of regions and second regions aside from the first region among the plurality of regions, the connectivity information including (i) tile information indicating values each uniquely assigned to a different one of the plurality of regions and (ii) relation information indicating that the first region and one of the second regions are related; and generating a bitstream including the connectivity information generated and the encoded three-dimensional points.

Abstract: A three-dimensional data encoding method includes: generating first information in which an N-ary tree structure of a plurality of three-dimensional points included in three-dimensional data is expressed using a first formula, where N is an integer of 2 or higher; and generating a bitstream including the first information. The first information includes pieces of three-dimensional point information each associated with a corresponding one of the plurality of three-dimensional points. The pieces of three-dimensional point information each include indexes each associated with a corresponding one of a plurality of levels in the N-ary tree structure. The indexes each indicate a subblock, among N subblocks belonging to a corresponding one of the plurality of levels, to which a corresponding one of the plurality of three-dimensional points belongs.

Abstract: A generation device includes: a communication interface via which two-dimensional (2D) images are to be received, the 2D images having been generated by photographing a space from different viewpoints with at least one camera; and a processor connected to the communication interface and configured to determine, according to the 2D images, a matching pattern to match feature points included in two pictures among the 2D images, match the feature points according to the matching pattern in order to generate first three-dimensional (3D) points, the first 3D points indicating respective first positions in the space, generate second 3D point based on the 2D images, the second 3D point indicating a second position in the space, and generate a 3D model of the space based on the first 3D points and the second 3D point.

Abstract: A position estimation system includes a prior map creator that creates a plurality of environmental maps using a first capture, and a position recognizer that estimates a position of a moving body based on a plurality of feature points included in the plurality of environmental maps and a feature point included in image information from a second capture provided in the moving body, in which the first capture includes a plurality of first imaging devices, a pair of adjacent first imaging devices among the plurality of first imaging devices is disposed so that parts of imaging visual fields of the adjacent first imaging devices overlap, and the second capture includes a second imaging device having a same imaging visual field as an imaging visual field of at least one first imaging device among the plurality of first imaging devices.

Abstract: A three-dimensional data encoding method includes: generating first information in which an N-ary tree structure of a plurality of three-dimensional points included in three-dimensional data is expressed using a first formula, where N is an integer of 2 or higher; and generating a bitstream including the first information. The first information includes pieces of three-dimensional point information each associated with a corresponding one of the plurality of three-dimensional points. The pieces of three-dimensional point information each include indexes each associated with a corresponding one of a plurality of levels in the N-ary tree structure. The indexes each indicate a subblock, among N subblocks belonging to a corresponding one of the plurality of levels, to which a corresponding one of the plurality of three-dimensional points belongs.

Abstract: A three-dimensional data encoding method includes: calculating coefficient values from items of attribute information of three-dimensional points; quantizing the coefficient values to generate quantization values; and generating a bitstream including the quantization values. One or more items of attribute information are classified, for each of three-dimensional spaces, into one of groups, the three-dimensional spaces (i) being included in a plurality of three-dimensional spaces, and (ii) including, among the three-dimensional points, three-dimensional points including the one or more items of attribute information.

Abstract: A generation method is disclosed. Two-dimensional (2D) images that are generated by photographing a space from different viewpoints with at least one camera are obtained. Resolutions of the 2D images are reduced to generate first images, respectively. Second images are generated from the 2D images, respectively such that a resolution of each of the second images is higher than a resolution of any one of the first images. First three-dimensional (3D) points are generated based on the first images. The first 3D points indicate respective first positions in the space. A second 3D point is generated based on the second images. The second 3D point indicates a second position in the space. A 3D model of the space is generated based on the first 3D points and the second 3D point.

Abstract: A three-dimensional data encoding method includes: encoding, for each of three-dimensional points included in point cloud data, geometry information and one or more items of attribute information to generate a bitstream. In the encoding, a normal vector of each of the three-dimensional points is encoded as an item of attribute information included in the one or more items of attribute information of the three-dimensional point.

Abstract: There is provided a projection indication device that generates a projection image to be projected on parcel based on sensing information of the parcel, the device including: a processor; and a memory, in which by cooperating with the memory, the processor specifies parcel based on a distance image of the parcel included in sensing information, tracks the parcel based on a color image of the parcel included in the sensing information, and tracks the parcel based on the distance image of the parcel in a case where the color image of the parcel on which a projection image is projected includes a white region expressed in white which is not an original gradation.

Abstract: A three-dimensional data encoding method includes: calculating coefficient values from pieces of attribute information of three-dimensional points included in point cloud data; quantizing the coefficient values to generate quantization values; and generating a bitstream including the quantization values. The three-dimensional points corresponding to the coefficient values belong to one layer among one or more layers. Each of a predetermined number of layers among the one or more layers is assigned a quantization parameter for the layer. In the quantizing, (i) when a quantization parameter is assigned to a layer to which each of the coefficient values belongs, the coefficient value is quantized using the quantization parameter, and (ii) when the quantization parameter is not assigned to a layer to which each of the coefficient values belongs, the coefficient value is quantized using a quantization parameter assigned to one layer among the predetermined number of the layers.

Abstract: A three-dimensional data encoding method includes: generating a bitstream by encoding subspaces included in a current space in which three-dimensional points are included. The bitstream includes encoded data respectively corresponding to the subspaces. In the generating of the bitstream, a list of information about the subspaces is stored in first control information included in the bitstream. The subspaces are respectively associated with identifiers assigned to the subspaces, and the first control information is common to the encoded data. Each of the identifiers assigned to the subspaces respectively corresponding to the encoded data is stored in a header of a corresponding one of the encoded data.

Abstract: A three-dimensional data encoding method includes: transforming pieces of attribute information of three-dimensional points included in point cloud data into coefficient values; and encoding the coefficient values to generate a bitstream. In the transforming, weighting calculation is performed hierarchically to generate the coefficient values belonging to one of layers, the weighting calculation separating each of the pieces of attribute information into a high-frequency component and a low-frequency component. In the weighting calculation, the weighting calculation is performed using weights fixed or not fixed in the layers. The bitstream includes first information indicating whether to fix the weights in the layers.

Abstract: A three-dimensional data encoding method includes: determining whether to encode, using an octree structure, a current space unit among a plurality of space units included in three-dimensional data; encoding the current space unit using the octree structure, when it is determined that the current space unit is to be encoded using the octree structure; encoding the current space unit using a different method that is not the octree structure, when it is determined that the current space unit is not to be encoded using the octree structure; and appending, to a bitstream, information that indicates whether the current space unit has been encoded using the octree structure.

Abstract: A three-dimensional data encoding method uses a first encoding scheme and a second encoding scheme different from the first encoding scheme, and includes: (i) transforming a first quantization parameter to a first scale value or (ii) transforming the first scale value to the first quantization parameter, based on a first table indicating a correspondence between values of the first quantization parameter and values of the first scale value and being shared between the first encoding scheme and the second encoding scheme; performing encoding including a first quantization process to generate encoded attribute information, the first quantization process being a process of dividing, by the first scale value, each of first coefficient values based on items of attribute information of three-dimensional points included in point cloud data; and generating a bitstream including the encoded attribute information and the first quantization parameter.