Answer:
Northern Canada, so yeah 3
Answer:
There are few reasons that Imperialism grew so rapidly at the end of the 19th century. One of the reasons was industrialisation. With the industrialisation revolution beginning at the start of the 19th century the big powers in Europe were getting superior than other small countries like in Asia or Africa.
The code of honor of samurai was called Bushido. In the own life of a samurai they become unavoidably involved in obligations. Samurai practice the Way. Bushido was written in circa 1470 which is 130 years before the code of chivalry.
Answer:
They are trying to find out <u>how many stones there are in the original arch.</u>
Explanation:
Once they've identified the stone, and its main features, they can address what kind of arch was being built there. After this general understanding, the students can predict how many stones were used to raise the arch, and how they were arranged on the structure. The prediction can be proved after all the original structure being totally understood.
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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