Seiko Epson Corporation

Tatsuya Hosoda

Junichiro Shinozaki

Naoki Kuwata

Kazuo Nomura

Michihiro Nagaishi

Seiji Aiso

Kazuhiro Kosuge

Yukihiro Yamaguchi

Kenji Matsuzaka

Yasuhisa Hirata

Fumiaki Mukaiyama

Megumi Sano

Kazuhiro Sakamoto

A robot includes a gripping section and a main body section to which the pair of finger sections are attached, having one end sections of the pair of finger sections rotatably connected to each other around a first rotating shaft disposed at a position separate from the main body section, and adapted to open and close the pair of finger sections by swinging the other side of the pair of finger sections on a plane parallel to a mounting surface on which an object is mounted centered on the first rotating shaft to thereby grip the object, a moving device adapted to relatively move the object and the gripping section, and a control device adapted to control the moving device to move the gripping section relatively toward the object, and grip the object with the gripping section at at least three contact points.

Robot

In order to detect an orientation of a human face included in an image consisted of a plurality of pixels, a face region is determined within the image so as to include the human face. A plurality of detecting regions are set so as to be adjacent to the face region. A plurality of first amounts are acquired. Each of the first amount is characteristic to one of the detecting regions. The first amounts are compared to each other to judge the orientation.

Method and apparatus for detecting face orientation, and recording medium having recorded program for executing the method

Scores are calculated for each of a plurality of preselected evaluation items for each image, and the plurality of scores are weighted and combined to produce combined scores. Then a plurality of candidate images are selected and displayed from a group of images based on these combined scores. A user selects one or more images to be processed from these candidate images, and the degrees of correlation between user selected images and evaluation items are found based on the scores for a plurality of evaluation items in the images selected for processing. Then the weightings of evaluation items having high degrees of correlation are increased.

Selection of images for image processing

An image pickup device is provided which includes: an auto focus control unit sampling contrast values as a function of a relative distance from an object by detecting a contrast of an image of the object while driving a lens in an optical axis direction, calculating a focused focal position on the basis of the contrast values, and driving the lens to the focused focal position; a shake detecting unit detecting at least an amount of shake in the optical axis direction of the lens; and a selection judging unit judging selection and non-selection of the sampled contrast values depending on the amount of shake in the optical axis direction of the lens at the time of the sampling. Here, the auto focus control unit calculates the focused focal position on the basis of the contrast value judged as being selected by the selection judging unit among the sampled contrast values.

Image pickup device, method of controlling image pickup device, and recording medium

A filming device includes a filming unit which imports a plurality of frames configuring a moving image at a prescribed sampling rate, a shake amount detection unit which detects a shake amount of each of the frames, a frame position calculation unit which calculates a frame position of each frame based on the shake amount, a reference frame position determination unit which determines a reference frame position to be a reference of a display subject frame, and a frame selection and transmission unit which selects and sequentially transmits frames positioned within a prescribed range centered on the reference frame position.

Shake correction device, filming device, moving image display device, shake correction method and recording medium

A controller is provided which includes a photographing control unit controlling an image pickup unit to take a photograph and a shake detecting unit detecting an amount of shake even time the image pickup unit takes a photograph. Here, the photographing control unit allows the image pickup unit to consecutively take a photograph and ends the photographing operation of the image pickup unit when the amount of shake detected by the shake detecting unit at the time of the photographing operation of the image pickup unit is larger than the amount of shake detected at the time of the previous photographing operation.

Controller, photographing equipment, control method of photographing equipment, and control program

A controller includes a photographing control unit controlling an image pickup unit taking a photograph of an object to perform a short-time photographing operation in which an exposure time is set shorter than a normal exposure time and an image correcting unit acquiring correction information for correcting image data taken in the short-time photographing operation and correcting the image data using the acquired correction information.

A method of extracting at least a portion of moving image data from supplied moving image data is provided. The method includes (a) a moving image evaluation step of generating moving image evaluation data by evaluating the supplied moving image data, the evaluation being chronologically performed based on a prescribed condition, (b) a moving image data extraction step of extracting the at least a portion of moving image data from the supplied moving image data based on the moving image evaluation data, and (c) a moving image data classification step of classifying the extracted moving image data into a plurality of classes based on the moving image evaluation data.

Generation of digested image data

The video processing device plays the video on an interface screen, and receives from a Digest buttondesignation of frame image data chosen by the user for use in digest video. The video processing device, on the basis of frame evaluation levels, displays Best-frame indicatorsand Division indicatorsserving as reference indicators when the user designates frame image.

Video processing device

The video processing device calculates evaluation levels of frame images in video data. Scene evaluation levels are then calculated from the frame evaluation levels in each scene. The playback times for the digest video of each scene are determined from the scene evaluation levels. Collections of frame image data with the playback time are extracted from each scene and are combined to produce digest video of the desired playback time.

Video processing device and method for producing digest video data

A direction of an intended edge is determined, and a position of the intended edge is corrected to a position that brings a direction that connects a position of the intended edge and a position of an adjacent edge closer to the determined direction of the intended edge, and edge information representative of an area of the edge of an enlarged image is generated by using the corrected position of the edge. Gradation data before and after filtering are synthesized at a rate corresponding to a feature quantity representative of the amount of pixels within a predetermined color area. The gradation data of the plural pixels within a predetermined region including the position of the intended edge to be sharpened among the interpolated gradation data of the respective pixels on the interpolated image is sharpened at a degree corresponding to the number of pixels of the uninterpolated image.

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Nagano-ken, Japan

Tatsuya Hosoda