A comparison of global optimizers applied to point cloud registration

Keyphrases

• Global Minimizer 100%
• Cardinalized 100%
• Point Cloud Registration 100%
• Particle Swarm Optimization 60%
• Linear Assignment Algorithm 60%
• Artificial Rabbits Optimization 60%
• Point Data 40%
• Linear Assignment 40%
• Robotics 20%
• False Alarm 20%
• Computer Vision 20%
• Occlusion 20%
• Execution Time 20%
• Heuristic Algorithms 20%
• Cardinality 20%
• Detection Error 20%
• Artificial Bee Colony 20%
• Spatial Error 20%
• Robust Registration 20%
• Registration Algorithm 20%
• Missed Detection 20%
• Point Cloud Data 20%
• Data Overlap 20%
• Iterative Closest Point Algorithm 20%
• Data Registration 20%
• Registration Accuracy 20%
• Local Minimum Problem 20%

Computer Science

• Particle Swarm Optimization 100%
• Point Cloud 100%
• Artificial Rabbits Optimization 100%
• Local Minimum 33%
• Computer Vision 33%
• Execution Time 33%
• Cardinality 33%
• Metaheuristic Algorithm 33%
• Meta -Heuristic Algorithm 33%
• Artificial Bee Colony 33%
• Error Detection 33%

Mathematics

• Particle Swarm Optimization 100%
• Point Cloud Registration 100%
• Data Point 66%
• Local Minimum 33%
• Heuristic Algorithm 33%
• Execution Time 33%
• Cardinality 33%
• False Alarm 33%
• Error Detection 33%