Search results for: Tae-Hyun Kim

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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Tae-Hyun Kim"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Tae-Hyun Kim</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Fast 3D Collision Detection Algorithm using 2D Intersection Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Taehyun%20Yoon">Taehyun Yoon</a>, <a href="https://publications.waset.org/search?q=Keechul%20Jung"> Keechul Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>There are many researches to detect collision between real object and virtual object in 3D space. In general, these techniques are need to huge computing power. So, many research and study are constructed by using cloud computing, network computing, and distribute computing. As a reason of these, this paper proposed a novel fast 3D collision detection algorithm between real and virtual object using 2D intersection area. Proposed algorithm uses 4 multiple cameras and coarse-and-fine method to improve accuracy and speed performance of collision detection. In the coarse step, this system examines the intersection area between real and virtual object silhouettes from all camera views. The result of this step is the index of virtual sensors which has a possibility of collision in 3D space. To decide collision accurately, at the fine step, this system examines the collision detection in 3D space by using the visual hull algorithm. Performance of the algorithm is verified by comparing with existing algorithm. We believe proposed algorithm help many other research, study and application fields such as HCI, augmented reality, intelligent space, and so on.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Collision%20Detection" title="Collision Detection">Collision Detection</a>, <a href="https://publications.waset.org/search?q=Computer%20Vision" title=" Computer Vision"> Computer Vision</a>, <a href="https://publications.waset.org/search?q=Human%20Computer%20Interaction" title=" Human Computer Interaction"> Human Computer Interaction</a>, <a href="https://publications.waset.org/search?q=Visual%20Hull" title=" Visual Hull"> Visual Hull</a> </p> <a href="https://publications.waset.org/4503/fast-3d-collision-detection-algorithm-using-2d-intersection-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/4503/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a 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Search results for: Tae-Hyun Kim