Vulkan is better at keeping the GPU busy than OpenGL is. OpenGL drivers need to do a lot of CPU work before handing work off to the GPU. Vulkan lets you get more power from the GPU card you already have.
{"title":"Introduction to the Vulkan computer graphics API","authors":"M. Bailey","doi":"10.1145/3388769.3407508","DOIUrl":"https://doi.org/10.1145/3388769.3407508","url":null,"abstract":"Vulkan is better at keeping the GPU busy than OpenGL is. OpenGL drivers need to do a lot of CPU work before handing work off to the GPU. Vulkan lets you get more power from the GPU card you already have.","PeriodicalId":167147,"journal":{"name":"ACM SIGGRAPH 2020 Courses","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127162883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding AR inside and out --- Part One: a solid grounding","authors":"Course Volumes, M. Billinghurst, Wan-Chun Ma","doi":"10.1145/3388769.3407539","DOIUrl":"https://doi.org/10.1145/3388769.3407539","url":null,"abstract":"","PeriodicalId":167147,"journal":{"name":"ACM SIGGRAPH 2020 Courses","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122936009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Jörg, Yuting Ye, Michael Neff, Franziska Mueller, V. Zordan
We use our hands every day: to grasp a cup of coffee, write text on a keyboard, or signal that we are about to say something important. We use our hands to interact with our environment and to help us communicate with each other without thinking about it. Wouldn't it be great to be able to do the same in virtual reality? However, accurate hand motions are not trivial to capture. In this course, we present the current state of the art when it comes to virtual hands. Starting with current examples for controlling and depicting hands in virtual reality (VR), we dive into the latest methods and technologies to capture hand motions. As hands can currently not be captured in every situation and as constraints stopping us from intersecting with objects are typically not available in VR, we present research on how to synthesize hand motions and simulate grasping motions. Finally, we provide an overview of our knowledge of how virtual hands are being perceived, resulting in practical tips on how to represent and handle virtual hands. Our goals are (a) to present a broad state of the art of the current usage of hands in VR, (b) to provide more in-depth knowledge about the functioning of current hand motion tracking and hand motion synthesis methods, (c) to give insights on our perception of hand motions in VR and how to use those insights when developing new applications, and finally (d) to identify gaps in knowledge that might be investigated next. While the focus of this course is on VR, many parts also apply to augmented reality, mixed reality, and character animation in general, and some content originates from these areas.
{"title":"Virtual hands in VR: motion capture, synthesis, and perception","authors":"S. Jörg, Yuting Ye, Michael Neff, Franziska Mueller, V. Zordan","doi":"10.1145/3388769.3407494","DOIUrl":"https://doi.org/10.1145/3388769.3407494","url":null,"abstract":"We use our hands every day: to grasp a cup of coffee, write text on a keyboard, or signal that we are about to say something important. We use our hands to interact with our environment and to help us communicate with each other without thinking about it. Wouldn't it be great to be able to do the same in virtual reality? However, accurate hand motions are not trivial to capture. In this course, we present the current state of the art when it comes to virtual hands. Starting with current examples for controlling and depicting hands in virtual reality (VR), we dive into the latest methods and technologies to capture hand motions. As hands can currently not be captured in every situation and as constraints stopping us from intersecting with objects are typically not available in VR, we present research on how to synthesize hand motions and simulate grasping motions. Finally, we provide an overview of our knowledge of how virtual hands are being perceived, resulting in practical tips on how to represent and handle virtual hands. Our goals are (a) to present a broad state of the art of the current usage of hands in VR, (b) to provide more in-depth knowledge about the functioning of current hand motion tracking and hand motion synthesis methods, (c) to give insights on our perception of hand motions in VR and how to use those insights when developing new applications, and finally (d) to identify gaps in knowledge that might be investigated next. While the focus of this course is on VR, many parts also apply to augmented reality, mixed reality, and character animation in general, and some content originates from these areas.","PeriodicalId":167147,"journal":{"name":"ACM SIGGRAPH 2020 Courses","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124124510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The course starts with an overview of eye-tracking applications, distinguishing eye movement analysis from synthesis in virtual reality, games, and other venues including mobile eye tracking. The focus is on four forms of applications: diagnostic (off-line measurement), active (selection, look to shoot), passive (foveated rendering, a.k.a. gaze-contingent displays), and expressive (gaze synthesis). The course covers basic eye movement analytics, e.g., fixation count and dwell time within AOIs, as well as advanced analysis using ambient/focal attention modeling. The course concludes with an overview and a demo of how to build an interactive application using Python.
{"title":"Eye-based interaction in graphical systems: 20 years later gaze applications, analytics, & interaction","authors":"A. Duchowski","doi":"10.1145/3388769.3407492","DOIUrl":"https://doi.org/10.1145/3388769.3407492","url":null,"abstract":"The course starts with an overview of eye-tracking applications, distinguishing eye movement analysis from synthesis in virtual reality, games, and other venues including mobile eye tracking. The focus is on four forms of applications: diagnostic (off-line measurement), active (selection, look to shoot), passive (foveated rendering, a.k.a. gaze-contingent displays), and expressive (gaze synthesis). The course covers basic eye movement analytics, e.g., fixation count and dwell time within AOIs, as well as advanced analysis using ambient/focal attention modeling. The course concludes with an overview and a demo of how to build an interactive application using Python.","PeriodicalId":167147,"journal":{"name":"ACM SIGGRAPH 2020 Courses","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128903572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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