Sony Corporation

Sony Group Corporation

Tetsuya Fukuyasu

Junichi Tanaka

Hiroaki Takahashi

Yuichi Hasegawa

Hiroshi Oryoji

Yuichi Araki

Tooru Masuda

Kendai Furukawa

Noriyuki Aramaki

There is provided an information processing device to generate a video to which a wide range of renditions are applied from a three-dimensional object generated by a volumetric technology. The information processing device includes a first generation unit () that generates, based on a three-dimensional model of a subject generated by using a plurality of captured images obtained by imaging the subject and based on a two-dimensional image, a video in which a subject generated from the three-dimensional model, and the two-dimensional image, are simultaneously present.

Information processing device, information processing method, video distribution method, and information processing system

The present technology relates to an image processing apparatus, a 3D model generation method, and a program capable of reducing failed image capturing in multi-view image capturing for 3D model generation. The image processing apparatus includes a 3D region calculation unit that generates a 3D region of image capturing ranges generated from a plurality of multi-view images, and a determination unit that determines a situation in which an image capturing device captures a subject on the basis of a region image obtained by projecting the 3D region onto a specific viewpoint and a subject image from the image capturing device corresponding to the specific viewpoint. The present technology can be applied to, for example, an image processing apparatus for 3D model generation.

Image processing apparatus and 3D model generation method

The present disclosure relates to an image processing apparatus and an image processing method capable of storing auxiliary information in CbCr components in a YCbCr format. The image processing apparatus includes a receiving section that receives depth image data in which a depth image transmitted together with a texture image is stored in a Y component in a YCbCr format and auxiliary information is stored in CbCr components in the YCbCr format, and an auxiliary information utilization section that executes a predetermined image process using the auxiliary information on at least one of the texture image or the depth image. A value that can be taken on by the auxiliary information for each pixel of the texture image has N patterns, and a gradation value out of N&#xd7;N gradation values into which a combination of the auxiliary information regarding two pixels is converted is stored in the CbCr components.

Image processing apparatus and image processing method

The present disclosure relates to an image processing apparatus and an image processing method that make it possible to suppress deterioration of picture quality of an image within a viewing range of a viewer. An image processing apparatus includes an image processing section that performs, based on priorities between a plurality of encoded streams obtained by encoding a plurality of projection images that are obtained by projecting an omnidirectional image to a plurality of faces or a plurality of viewpoint images from different viewpoints, decoding of the encoded streams and generation or selection of an image to be used for generation of a display image, and a drawing section that generates the display image based on the generated or selected image.

There is provided an image processing apparatus that includes an ML3D model generation section, which are applicable to a home server that generates a display image of a predetermined viewpoint from an omnidirectional image or the like. The ML3D model generation section receives transmission information in which auxiliary information is added to at least one of texture information of a first layer, depth information of the first layer, texture information of a second layer or depth information of the second layer, and executes predetermined image processing using the auxiliary information for at least one of the texture information of the first layer, the depth information of the first layer, the texture information of the second layer or the depth information of the second layer.

Accurate motion detection is performed by discriminating whether a sensor detecting an object motion is mounted on a human body or not, and processing is executed with respect to metadata based on the result. Sensor information according to the motion is input from the sensor, and a sensor mounting position is determined. A sensor mounting position detection unit calculates a ratio between a high-frequency component and a low-frequency component included in the sensor information, and discriminates whether the sensor is mounted on the human body or is mounted on other than the human body, on the basis of the calculated ratio. A metadata generating unit inputs user motion detection information obtained by executing a motion detection algorithm assuming a sensor mounting position coincident with a sensor mounting position detection result, and generates the shot image corresponding metadata.

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Kanagawa, Japan

Tetsuya Fukuyasu