Abstract:
In this work we synthesized computer vision and machine learning techniques to gather
computational and experimental data to analyse three-dimensional motion of free-flying
insects in a multi-view arrangement system using only a single high-speed camera. This
is for the first time when free-flying manoeuvres are captured using a single high-speed
camera minimizing the cost of the experimental setup drastically. Minimum three high
speed cameras were employed in the past to capture flights of these free-flying insects.
This work finds applications in numerous fields including aerodynamics, mechanics, ex perimental biology and neuroscience.
The computational verification of this single camera system was verified by simple ex periments using mobile camera. The reconstructed three dimensional model of the object
correctly measured depth of the objects. We captured flights and several manoeuvres of
dragonflies and butterflies using high speed camera. Three-dimensional reconstruction of
wings of these tiny free flying insects allow us to analyse and track three-dimensional kine matics that these insects exhibit during their flight. The experimental data of the flights
obtained using this multi-view system can be used by future researchers in the field of data
science, artificial intelligence, robotics, aerospace engineering and biomechanics etc.
