Abstract: A method of generating a three-dimensional (3D) model and a device for generating a 3D model are provided. The method includes generating a base 3D model of an object, determining a first target 3D model similar to the base 3D model from a 3D model database storing a plurality of 3D models, generating a first synthesized 3D model, determining a first similarity between the first synthesized 3D model and the at least one object image, determining a component having a low similarity between the first synthesized 3D model and the at least one object image, determining, as a second target 3D model, a 3D model having a high similarity to the first synthesized 3D model with respect to the component having the low similarity, from the 3D model database, and generating a second synthesized 3D model.

Abstract: A method of training an object recognition model by using spatial information is provided. The method includes obtaining spatial information including illumination information corresponding to a plurality of spots in a space, obtaining illumination information corresponding to at least one spot of the plurality of spots from the spatial information, obtaining training data by using the obtained illumination information and an image obtained by capturing the at least one spot, and training a neural network model for object recognition by using the training data.

Abstract: Provided is a method, performed by a server, of providing a personalized spatial map, the method comprising: obtaining a first spatial map including first map features representing spatial information about a space; obtaining a second spatial map based on sensor data obtained by measuring the space, the second spatial map including second map features; identifying third map features for map alignment from among the first map features and the second map features; aligning the first spatial map and the second spatial map, based on the identified third map features; identifying local areas in the space where at least one difference exists between the first spatial map and the second spatial map; and generating the personalized spatial map by identifying pieces of spatial information about the local areas based on the second map features.

Abstract: A method of controlling an electronic device by using spatial information and an electronic device using spatial information are provided. The method includes selecting, based on spatial information about a space including at least one object and a task that the electronic device is set to perform, an object that obstructs the task from among objects located in a space corresponding to the task, providing a user of the electronic device with object movement guide information corresponding to attribute information about the selected object, determining a movement path used to perform the task, based on a user's response corresponding to the object movement guide information, and driving the electronic device according to the determined movement path.

Abstract: An illumination device includes illumination units for irradiating light on an object and a substrate member, which is an example of a holding mechanism for detachably holding the illumination units according to a predetermined disposition rule. The substrate member has a connection part for electrically connecting with a controller. The substrate member holds a part of the illumination units by linking parts.

Abstract: Provided is an image processing system which determines at least one object using a low function device and a high function device having higher calculation capacity than the low function device. The low function device includes a part configured to output a first determination result which identifies the objects by applying a first convolution neural network to captured images of the objects, and a part configured to output the captured image to the high function device when the first determination result meets a predetermined condition. The high function device includes a part configured to apply a second convolution neural network preliminarily learned from a sample which is at least partially common to the first neural network to the captured image and to output a second determination result which identifies the object.

Abstract: An image processing system and a setting method capable of performing lighting setting of illumination in a simpler manner are provided. The control device (100) evaluates evaluation lighting patterns (xi) one by one to calculate evaluation values (Pi), and uses coefficients (1i) determined based on the evaluation values (Pi) to linearly combine each evaluation lighting pattern (xi) to determine a lighting pattern for measurement (L).

Abstract: A controller includes a specifying part and a reception part. The specifying part specifies positions where the illumination units are connected. The reception part presents a lightable area and an unlightable area in different modes based on the positions where the illumination units are connected, the positions being specified by the specifying part. The reception part receives settings of the lighting conditions for the lightable area.

Abstract: An illumination device includes illumination units for irradiating light on an object and a substrate member, which is an example of a holding mechanism for detachably holding the illumination units according to a predetermined disposition rule. The substrate member has a connection part for electrically connecting with a controller. The substrate member holds a part of the illumination units by linking parts.

Abstract: A controller includes a specifying part and a reception part. The specifying part specifies positions where the illumination units are connected. The reception part presents a lightable area and an unlightable area in different modes based on the positions where the illumination units are connected, the positions being specified by the specifying part. The reception part receives settings of the lighting conditions for the lightable area.

Abstract: Provided are a setting assistance device, an image processing system, and a setting assistance program for performing lighting-up setting of a lighting apparatus more easily. Setting assistance functions provided by an image processing apparatus include a function of presenting a plurality of lighting-up region candidates and emission state candidates to a user. The user selects a lighting-up region and an emission state from the presented candidates.

Abstract: Provided are a setting support apparatus capable of reducing a workload in lighting setting for an illumination device, an image processing system, and a setting support program. A user interface for performing lighting setting with respect to an illumination device includes a lighting region receiving region that receives setting of a region to be turned on, and a light emitting intensity receiving region that receives setting of light emitting intensity for each light source. In addition, the user interface includes a setting content displaying region that graphically displays a setting content.

Abstract: An image processing system and a setting method capable of performing lighting setting of illumination in a simpler manner are provided. The control device (100) evaluates evaluation lighting patterns (xi) one by one to calculate evaluation values (Pi), and uses coefficients (1i) determined based on the evaluation values (Pi) to linearly combine each evaluation lighting pattern (xi) to determine a lighting pattern for measurement (L).

Abstract: Provided are a setting assistance device, an image processing system, and a setting assistance program for performing lighting-up setting of a lighting apparatus more easily. Setting assistance functions provided by an image processing apparatus include a function of presenting a plurality of lighting-up region candidates and emission state candidates to a user. The user selects a lighting-up region and an emission state from the presented candidates.

Abstract: Provided are a setting support apparatus capable of reducing a workload in lighting setting for an illumination device, an image processing system, and a setting support program. A user interface for performing lighting setting with respect to an illumination device includes a lighting region receiving region that receives setting of a region to be turned on, and a light emitting intensity receiving region that receives setting of light emitting intensity for each light source. In addition, the user interface includes a setting content displaying region that graphically displays a setting content.

Abstract: Provided is an image processing system which determines at least one object using a low function device and a high function device having higher calculation capacity than the low function device. The low function device includes a part configured to output a first determination result which identifies the objects by applying a first convolution neural network to captured images of the objects, and a part configured to output the captured image to the high function device when the first determination result meets a predetermined condition. The high function device includes a part configured to apply a second convolution neural network preliminarily learned from a sample which is at least partially common to the first neural network to the captured image and to output a second determination result which identifies the object.