How would you like is to answer that? Is this a true or false? If so it is true. Or would you like us to elaborate? If so, then, the North pole during the summer gets up around. 30 degrees ferinhiet or 0 degrerd Celsius, during the winter it goes down to about -45 degrees ferinhiet or -45 degrees Celsius. In the south pole during the summer it gets up to around -20 degrees ferinhiet or -28 degrees Celsius, during the winter it gets down to -75 degrees ferinhiet or -60 degrees Celsius.
I hope this helps.
During 1803, Napoleon Bonaparte, who was the French ruler at that time, controlled the Louisiana Territory. President Jefferson believed that the French leader may be a threat to American trade and travel, so he decided to negotiate the Louisiana purchase. By doing so, the US would be able to use the Mississippi River and the Port of New Orleans more freely; both ports had been used by farmers to ship their crops and get paid. Jefferson was able to buy the Louisiana territory from France, since Napoleon Bonaparte needed money for the Great French War. As a result, with the purchase of this new territory, the land area of America nearly doubled.
Answer: Desertification and soil erosion.
C) black hawk didn’t want to leave Illinois
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
About SportCaps :
SportsCap proposes a challenging sports dataset called Sports Motion and Recognition Tasks (SMART) dataset, which contains per-frame action labels, manually annotated pose, and action assessment of various challenging sports video clips from professional referees.
Their approaches :
This is especially prevalent in non-daily action classes like fitness and sports domains. This can be mitigated, for example, by annotating domain-specific datasets , but that requires a considerable amount of manual annotation efforts, financial resources, and 3D annotations can only be obtained in controlled conditions. Therefore, we propose to learn domain-specific pose-sensitive representations from unlabeled videos, which can be fine tuned using only a small labeled dataset. ...
Learn more about Monocular 3 D Human :
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