Fujitsu Corporation

Yasuto Watanabe

Atsunori Moteki

Toshiyuki Yoshitake

Jun Kanetake

Masayoshi Shimizu

Kimitaka Murashita

Shoji Suzuki

Ayu Karasudani

Rie Hasada

Yu Ishikawa

Haruyuki Ishida

A moving body speed derivation method that causes at least one computer to execute a process, the process includes deriving a reference point in a second moving body region that is an image of a second moving body, from one image capturing the second moving body among a plurality of time-series images captured by an imaging device installed in a first moving body; deriving a position of the second moving body based on a distance between the imaging device and a feature point in the second moving body corresponding to the reference point in the second moving body region; and deriving speed of the second moving body based on a change amount of the position of the second moving body corresponding to the second moving body region included in the plurality of time-series images.

Moving body speed derivation method and moving body speed derivation program

A road shape determination method that causes a computer to execute a process, the process includes identifying a road region in an image captured by an imaging device mounted over a moving object, and determining a road shape based on a ratio of the road region in each of a plurality of determination regions that is set in the image in which the road region is identified.

Road shape determination method

A memory stores shape information representing a shape of an object. A processor detects a plurality of feature lines from an image of an object that has been captured by an image capturing device in a manufacturing process of manufacturing the object, and produces a plurality of combinations by correlating each of a plurality of line segments in the shape information and each of the plurality of feature lines with each other. Next, the processor performs classification of each of the combinations into an identified combination that has a certain correlation result or an unidentified combination that has an uncertain correlation result. The processor also changes a result of the classification for the identified combination and the unidentified combination according to a reliability of each of the plurality of combinations and determines a degree of progress of the manufacturing process by using the identified combination included in the changed result.

Image processing apparatus and image processing method

An estimation device includes a processor coupled to a memory and configured to detect a plurality of feature lines from an image of the object photographed by an imaging device, generate a plurality of sets of a predetermined number of line segments among the plurality of line segments, select a set to be processed from among the plurality of sets based on a length-first selection order in which a line segment that is longer than other line segments is preferentially selected, generate the predetermined number of combinations in which the predetermined number of line segments included in the set to be processed and the predetermined number of feature lines among the plurality of feature lines are associated with each other on a one-to-one basis, and estimate a position and a orientation of the imaging device in a three-dimensional space using the predetermined number of combinations.

Estimation device, estimation method and storage medium

In an imaging apparatus, a JPEG coding unit makes JPEG data by respectively compressing plural images obtained from an imaging device. A code retention unit retains each JPEG data. A thumbnail data creation unit creates a thumbnail from each of the images. A thumbnail retention unit retains the thumbnail. A feature point detection unit detects a feature point from the thumbnail. A partial image decode unit respectively decodes zones including the feature points from each JPEG data. A displacement amount calculation unit obtains positional information of feature points in the decoded individual zones and calculates a displacement amount of each JPEG data based on the positional information.

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Machida, Japan

Yasuto Watanabe