ITERATIVE CLOSEST POINT TECHNIQUE BASED ON A SOLUTION OF INVERSE KINEMATICS PROBLEM

Patent №

US 9,747,717

Granted

2017-08-29

Filed 2015

Owner

INTEL CORPORATION

Lab

AI components

4

ml · vision · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14749295

Techniques related to non-rigid transformations for articulated bodies are discussed. Such techniques may include repeatedly selecting target positions for matching a kinematic model of an articulated body, generating virtual end-effectors for the kinematic model and corresponding to the target positions, generating an inverse kinematics problem including a Jacobian matrix, and determining a change in kinematic model parameters based on the inverse kinematics problem until a convergence is attained.

Machine learningVisionPlanningEvolutionary computationG06T 13/40G06F 3/017G06F 3/0304G06F 18/24323G06T 7/11G06T 7/143G06T 7/207G06T 7/251+15 more

AI classification

Evolutionary computation1.00
Planning1.00
Vision0.82
Machine learning0.81
AI hardware0.36
Knowledge representation0.01
Natural language0.00
Speech0.00

Ownership

INTEL CORPORATION

assignment · 361670952

Assignors

FLEISHMAN, SHAHAR, KLIGER, MARK, LERNER, ALON

On an employer assignment, the assignors are typically the inventors.

From the same owner

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