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The objective of this study is to investigate the relationship between the features of augmented reality (AR) and human memorization ability. The basis of this relation is derived from the following features. The AR feature is that AR can provide information associated with specific locations in the real world. The feature of human memory is that humans can easily memorize information if the information...
This paper addresses the problem of tracking textureless rigid curved objects. A common approach uses polygonal meshes to represent curved objects and use them inside an edge-based tracking system. However, in order to accurately recover their shape, high quality meshes are required, creating a trade-off between computational efficiency and tracking accuracy. To solve this issue, we suggest the use...
Model based tracking approaches estimate the pose of the object by minimizing the re-projection error. However, when the object has some ambiguity, for instance, rotation invariance, the 3D pose cannot be correctly estimated. This paper proposes a novel method to allow continuous tracking even when the Degrees of Freedom (DoF) of the target object changes, being able to recover one missing DoF. Pose...
We present a novel method for estimating 3-D positions of near light sources by using highlights on the outside and inside of a single clear hollow sphere. Conventionally, the positions of near light sources have been estimated by using observed highlights on multiple reference objects, e.g. mirror balls.
In the field of augmented reality (AR), many kinds of vision-based extrinsic camera parameter estimation methods have been proposed to achieve geometric registration between real and virtual worlds. Previously, a feature landmark-based camera parameter estimation method was proposed. This is an effective method for implementing outdoor AR applications because a feature landmark database can be automatically...
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