Morpho

Yasuhiro Kuroda

Hiroshi Koyama

Ryo Ono

Takeshi Miura

Masaki Hiraga

Shogo Sawai

Kazuhiro Hiramoto

Kosuke Ishiguro

Kenji Okuma

Michihiro Kobayashi

Kouta Kurihara

Naruo Takizawa

Hitoshi Matsuo

Akito Hyakutake

Hideaki Nishino

A calculation scheme decision system includes a pre-calculation unit performing, in an execution environment in which calculation is performed, calculation for each of respective layers of the network structure using at least one of calculation schemes prepared in advance for the respective layers, a cost acquisition unit acquiring a calculation cost of at least one calculation scheme for each layer based on a result of the calculation by the pre-calculation unit, a decision unit selecting one calculation scheme for each layer based on the calculation cost from among at least one of the calculation schemes prepared in advance for the respective layers to associate the layer with the selected one calculation scheme, and a calculation unit performing the calculation for each of the respective layers of the network structure on input data in the execution environment using the calculation scheme associated with each layer.

Calculation scheme decision system, calculation scheme decision device, calculation scheme decision method, and storage medium

A training system comprises a training device, and a training data creation device. The training device trains a neural network. The training data creation device acquires any one of a positive evaluation indicating that content of the input data coincides with the label, a negative evaluation indicating that content of the input data does not coincide with the label, and an ignorable evaluation indicating exclusion from a training target label, for each label regarding the input data to create training data. In training the neural network for training, the training system adjusts the weight coefficient for the intermediate layer and makes the recognition score of the label with the ignorable evaluation not affect the adjustment of the weight coefficient for the intermediate layer.

Training system, training device, method for training, training data creation device, training data creation method, terminal device, and threshold value changing device

An image processing device is provided. The image processing device includes: a tracking area setting section that sets a tracking area in a frame image of an original motion picture; a color information obtaining section that obtains color information of the tracking area set by the tracking area setting section; a tracking position estimating section that estimates a tracking position with reference to the tracking area with respect to each frame image of the original motion picture by using the color information obtained by the color information obtaining section; an output frame setting section that sets an output frame enclosing the tracking area set by the tracking area setting section and that updates the output frame based on the estimated tracking position; and a lock-on motion picture generating section that generates a motion picture that is based on the output frame.

Image processing device, method and non-transitory computer readable recording medium for tracking a target in a motion picture using color information

An object of the present invention is to provide an image processing device and the like that can generate a composite image in a desired focusing condition. In a smartphone, an edge detecting sectiondetects an edge as a feature from a plurality of input images taken with different focusing distances, and detects the intensity of the edge as a feature value. A depth estimating sectionthen estimates the depth of a target pixel, which is information representing which of the plurality of input images is in focus at the target pixel, by using the edge intensity detected by the edge detecting section. A depth map generating sectionthen generates a depth map based on the estimation results by the depth estimating section

Image processing device having depth map generating unit, image processing method and non-transitory computer readable recording medium

Image processing device having depth map generating unit, image processing method and non-transitory computer redable recording medium

Growing community of inventors

Tokyo, Japan

Yasuhiro Kuroda