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We describe a technique for object detection that uses a combination of global shape descriptors and local point descriptors. Our system is able to represent pose using a global shape descriptor, rather than the commonly used part based representation. This approach considerably reduces computational complexity and achieves a significant performance improvement on an extensive dataset: CUB-200-2011...
Many of us have watched a fly perform a flawless landing on the rim of a teacup, or observed a honeybee seek and locate a new source of food several kilometers away from its hive and return home unerringly, or marveled at a bird flying rapidly through dense foliage without touching a single branch. Flying insects and birds are surprisingly competent at moving and navigating in their environment, despite...
Introduction When birds fly in cluttered environments, they must tailor their flight to the gaps that they traverse. We trained budgerigars, Melopsittacus undulatus, to fly through a vertically oriented gap of variable width, to investigate their ability to perform evasive manoeuvres during passage. Results When the gap was wider than their wingspan, the birds passed through it without interrupting...
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