DEVICE METHOD AND PROGRAM FOR HUMAN HAND POSTURE ESTIMATION
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Accused Products
Abstract
The objective is to provide a finger shape estimating device that can estimate the image most similar to a finger image quickly and with high precision, and that can facilitate construction of a database. Provided is a finger shape estimating device provided with a matching part that reads second shape data in a specific data set from a database that has multiple data sets in which finger angle data, second shape data relating to dimensions in the vertical direction and the horizontal direction of a second finger image of said finger, and second image feature quantities in the second finger image form a set, to match the second shape data and first shape data related to dimensions in the vertical direction and the horizontal direction in a separately acquired first finger image, and an estimating part that matches the second image feature quantities in the data set comprising the compatible second shape data, from matching by the matching part, with first image feature quantities in the first finger image, and estimates the finger shape in the first finger image.
38 Citations
31 Claims
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1-16. -16. (canceled)
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17. A human hand posture estimating device comprising:
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a hand image acquiring section that acquires a first hand image; a shape data calculating section that calculates first shape data relating to vertical and horizontal sizes of the first hand image; an image characteristic amount extracting section that extracts a first image characteristic amount of the first hand image; a collation section that reads, from a database holding a plurality of data sets each having a set of angle data of a finger, second shape data relating to vertical and horizontal sizes of a second hand image of the hand, and a second image characteristic amount of the second hand image, the second shape data in a predetermined data set, and collates the second shape data with the first shape data; and an estimation section that collates the second image characteristic amount in that data set which contains second shape data matched in collation performed by the collation section with the first image characteristic amount to estimate a human hand posture of the first hand image, wherein the collation section collates the first hand image with the second hand image based on a difference between the first shape data and the second shape data. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 31)
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29. A human hand posture estimating method comprising:
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a step of acquiring a first hand image; a step of calculating first shape data relating to vertical and horizontal sizes of the first hand image and a first image characteristic amount of the first hand image; a step of reading, from a database holding a plurality of data sets each having a set of angle data of a finger, second shape data relating to vertical and horizontal sizes of a second hand image of the hand, and a second image characteristic amount of the second hand image, the second shape data in a predetermined data set; a step of collating the first hand image with the second hand image based on a difference between the first shape data and the second shape data; a step of reading the second image characteristic amount in that data set which contains second shape data matched in the collation step; and a step of collating the first image characteristic amount with the second image characteristic amount to estimate a human hand posture of the first hand image.
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30. A program installed in a computer apparatus to allow the computer apparatus to execute predetermined processes, the program allowing the computer apparatus to execute:
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a process of acquiring a first hand image; a process of calculating first shape data relating to vertical and horizontal sizes of the first hand image and a first image characteristic amount of the first hand image; a process of reading, from a database holding a plurality of data sets each having a set of angle data of a finger, second shape data relating to vertical and horizontal sizes of a second hand image of the hand, and a second image characteristic amount of the second hand image, the second shape data in a predetermined data set; a process of collating the first hand image with the second hand image based on a difference between the first shape data and the second shape data; a process of reading the second image characteristic amount in that data set which contains second shape data matched in the collation process; and a process of collating the first image characteristic amount with the second image characteristic amount to estimate a human hand posture of the first hand image.
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Specification