An image processing method performs reduction processing on an input image to acquire a reduced image, extracts a feature point from a group of images including the input image and one or more of the reduced images, determines as a matched feature point the feature point extracted from a matching position in each of two or more images in the group of images, calculates a local feature quantity of the matched feature point determined by the determination unit, and registers the calculated local feature quantity as a local feature quantity of the input image.

Image processing apparatus, image processing method and program

The present invention aims to estimate a more consistent posture in regard to a multi-joint object. A target range image is first input, a human body region is extracted from the input range image, a target joint position candidate is calculated from the input range image, and a joint position is finally determined based on the calculated joint position candidate and a likelihood of each joint to estimate the posture. At this time, joint position permissible range information concerning inter-joint distance and angle of a human body model previously set by learning is obtained from a human body model storing unit, consistency is evaluated for a relation between the joint position candidates of a certain joint and other joint based on the obtained information, and thus the posture corresponding to the best combination of the joint positions is determined.

Posture estimating apparatus, posture estimating method and storing medium

PROBLEM TO BE SOLVED: To provide a motion capture device and motion capture method. SOLUTION: Disclosed are a device and method for effectively creating real-time operation of a 3-D virtual character by using a small number of sensors. More specifically, a motion capture method is used for creating operation of the 3-D virtual character, by mapping operation of a body with a skeleton model. This method can comprise a step of measuring the distance and rotation angle from a measuring reference position to a part by using a reference sensor for providing a measuring sensor to be attached to the body and the measuring reference position, and a step of estimating a relative rotation angle and relative position coordinate to each part of the body by using the measured distance and rotation angle. COPYRIGHT: (C)2010,JPO&INPIT

Motion capture device and motion capture method

PROBLEM TO BE SOLVED: To enable estimation of a pose more consistent with respect to an object having a multi-joint.SOLUTION: A distance image input unit 101 is configured to input a distance image targeted for processing, and extract a human body area from the distance image, and a joint position candidate calculation unit 102 is configured to calculate a joint position candidate of an object from the distance image. A consistency evaluation unit 103 is configured to determine a final joint position to estimate a pose on the basis of the joint location candidate of each joint and likelihood. In this case, joint position allowance range information about the joint such as a distance between joints of a human body model preliminarily set by learning or angle therebetween or the like is configured to be acquired from a human body model storage unit 104, and on the basis of the information, consistency about a relationship between the joint position candidate of a certain joint and the joint position candidate of other joint is configured to be evaluated to determine a pose that can be the most optimal combination of the joint positions.

Pose estimation device, pose estimation method and program

PROBLEM TO BE SOLVED: To provide a medical information processing apparatus and a program, capable of evaluating movement in a rotational direction.SOLUTION: A medical information processing apparatus includes an acquisition part, a detection part, and a calculation part. The acquisition part acquires depth image information including coordinate information and depth information of a subject existing in a three-dimensional space. The detection part detects a portion of the subject from the depth image information on the basis of the depth information. The calculation part calculates angle information indicating movement of the portion in a rotational direction using the coordinate information on the portion detected from the depth image information.

Medical information processing apparatus, and program

PROBLEM TO BE SOLVED: To provide a robust motion capture system, motion capture method and motion capture program available in actual environment, regardless of person's motion or complex background. SOLUTION: In the motion capture method, posture/location predicting section 5 predicts the expected location of joints, posture/location projecting section 6 projects the expected location on a two-dimensional image, a reliability evaluating section 7 evaluates the reliability of the expected location projected on two-dimensional image, and a posture/location estimating section 8 infers the inferred position, based on the above evaluation result, in the order which depends on the connectivity restraint between the joints of kinematics model. Then the inferred position inferred by the posture/location estimating section 8 is used to calculate the expected location of joints for the hierarchy to be inferred next. COPYRIGHT: (C)2008,JPO&INPIT

Motion capture system, method, and program

PROBLEM TO BE SOLVED: To attain a suitable body tracking. SOLUTION: A probability distribution of posture state of an object person 21 at a current time is predicted based on an observation result of an observation part 14 at the current time and a predicted probability distribution of posture of the object person 21 at the previous time the posture of the object person 21 is estimated on the basis of the prediction result, and the estimated result is outputted as a tracking result. In this case, the predicted probability distribution at the previous time used for predicting the probability distribution of posture state at the current time is not the predicted probability distribution at the previous time itself but a one obtained by correcting it based on distribution information generated by a feedback part 13 based on an estimation result of another posture estimation part 12 at the previous time and a tracking result of a body tracking part 11. The present invention can be applied to a body tracking device. COPYRIGHT: (C)2009,JPO&INPIT

Information processor and processing method, and program

PROBLEM TO BE SOLVED: To provide an image processing method which can improve accuracy of detecting a feature pattern in an image. SOLUTION: An attitude sensor W sequentially selects an angle θ on a preset pitch (for example one degree) within the range of 0 to 360 degrees in a selected search window at each scanning position. The attitude sensor accumulates pixel data from a center of the search window to its periphery and produces data for a targeted object by updating the angle θ on the preset pitch within the range of 0 to 360 degrees. COPYRIGHT: (C)2007,JPO&INPIT

Image processing method, apparatus and program thereof

PROBLEM TO BE SOLVED: To provide an image processing method for highly quickly generating parallax data between a plurality of image data SOLUTION: Probability density functions PD are successively updated (ST11), and a corresponding relation f for minimizing the energy are prescribed in each PD Then, the PD for finally minimizing energy and parallax data DM corresponding to the corresponding relation f are prescribed COPYRIGHT: (C)2007,JPO&INPIT

Image processing method, image processor, program, and recording medium

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Motion capture system, method, and program

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Motion capture system, method, and program

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Image processing method, image processor, program, and recording medium

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