PATENT CLAIM ANALYSIS

Application Number: 15885888
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-12
Patent Classification: ["382", "154000"]

Abstract:
The image capturing part  201  captures a ball in flight with a camera continuously. The image corresponding part  203  generates a first registered ball image obtained by making a size of a first ball image in a first capturing image captured first correspond to a size of a second ball image in a second capturing image captured second. The 3D model constructing part  204  constructs a 3D model of the first registered ball image obtained by converting a camera coordinate system of the generated first registered ball image into a world coordinate system. The virtual rotating part  205  rotates virtually the constructed 3D model of the first registered ball image by using a rotation parameter estimated in advance and rotation matrix information. The registered image generating part  206  generates a second registered ball image in the camera coordinate system obtained by converting the world coordinate system of a visible surface to see from the camera in the 3D model of the first registered ball image after the rotation into the camera coordinate system. The difference calculating part  207  extracts a second compared ball image corresponding to the second registered ball image in the second ball image, and calculates a difference between the second registered ball image and the second compared ball image. The rotation parameter determining part  208  repeats the virtual rotation of the 3D model, the generation of the second registered ball image and the calculation of the difference, and determines a rotation parameter to minimize the difference as a real rotation parameter.

Claim (Index 3):
The fight parameter measuring apparatus according to  claim 1 , further comprising:\n an image processor processing part respectively normalizing the first registered ball image and the specifying second ball image in the second capturing image by Retinex processing, detecting a ball structure indicating a characteristic structure of a whole surface of the ball from each of the normalizing first registered ball image and the normalizing second ball image by binarization processing, detecting a special feature indicating a local characteristic on the ball from each of the normalizing first registered ball image and the normalizing second ball image by patch binarization processing, and respectively re-constructing the first registered ball image and the second ball image obtained by composing the ball structure and the special feature in each of the normalizing first registered ball image and the normalizing second ball image, wherein the 3D model constructing processing part constructs the 3D model of the re-constructed first registered ball image, wherein the difference calculating processing part extracts the second compared ball image in the re-constructed second ball image, calculates a subtracted value obtained by subtracting a pixel value of a pixel of the second compared ball image from a pixel value of a pixel of the second registered ball image for respective pixels, calculates a squared value obtained by squaring the calculated subtracted value for respective pixels, and calculates a total value obtained by summing the calculated squared value of respective pixels as the difference, wherein the rotation parameter determining processing part changes an initial rotation parameter with only a predetermined change value, repeats the virtual rotation of the 3D model, the generation of the second registered ball image and the calculation of the difference, re-changes the changed rotation parameter by the change value, and performs convergence arithmetic operation so that the calculated difference can become the minimum value, and wherein the convergence arithmetic operation be used by least square method, or Gauss Newton method of nonlinear least square method.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 88.0
- Lexical Diversity: 3.38462
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14996732', '15815696', '10456054', '13696982', '10911009']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3573599555297239
- 35 USC 102 Novelty (BERT): 0.5062559344251978
- Combined Prediction Score: 0.3722495534192713
- Mean Citation Score: 228.873078
- Max Citation Score: 246.97618
- Similarity Product: 160.3268135458577

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test