Dr. Gregory F. Welch – Publications

@incollection{Raskar1998c,

title = {Efficient Image Generation for Multiprojector and Multisurface Displays},

author = {Ramesh Raskar and Matthew Cutts and Greg Welch and Wolfgang Stüerzlinger},

editor = {George Drettakis and Nelson Max},

url = {https://sreal.ucf.edu/wp-content/uploads/2017/02/Raskar1998c.pdf},

year  = {1998},

date = {1998-01-01},

booktitle = {Proceedings of the Eurographics Workshop in Vienna, Austria},

pages = {139-144},

publisher = {Springer Verlag},

address = {Vienna, Austria (June 29 - July 1)},

edition = {Rendering Techniques 98},

note = {ISBN 3-211-83213-0},

keywords = {},

pubstate = {published},

tppubtype = {incollection}

}

@incollection{Raskar1998d,

title = {Spatially Augmented Reality},

author = {Ramesh Raskar and Greg Welch and Henry Fuchs},

editor = {Reinhold Behringer and Gudrun Klinker and David Mizell},

url = {https://sreal.ucf.edu/wp-content/uploads/2017/02/Raskar1998d-IWAR_SAR.pdf},

year  = {1998},

date = {1998-01-01},

booktitle = {Augmented Reality; Placing Artificial Objects in Real ScenesProceedings of the First IEEE Workshop on Augmented Reality (IWAR'98). Long lasting Impact Paper Award},

pages = {63-72},

publisher = {A.K. Peters Ltd.},

address = {San Francisco, CA, USA (November 1, 1998)},

note = {ISBN 1-56881-098-9},

keywords = {},

pubstate = {published},

tppubtype = {incollection}

}

@incollection{Welch1997,

title = {SCAAT: Incremental Tracking with Incomplete Information},

author = {Greg Welch and Gary Bishop},

editor = {Turner Whitted},

url = {https://sreal.ucf.edu/wp-content/uploads/2017/02/Welch1997.pdf},

year  = {1997},

date = {1997-01-01},

booktitle = {Computer Graphics},

pages = {333--344},

publisher = {ACM Press, Addison-Wesley},

address = {Los Angeles, CA, USA (August 3--8)},

edition = {SIGGRAPH 97 Conference Proceedings},

series = {Annual Conference on Computer Graphics & Interactive Techniques},

abstract = {We present a promising new mathematical method for tracking a user's pose (position and orientation) for interactive computer graphics. The method, which is applicable to a wide variety of both commercial and experimental systems, improves accuracy by properly assimilating sequential observations, filtering sensor measurements, and by concurrently autocalibrating source and sensor devices. It facilitates user motion prediction, multisensor data fusion, and higher report rates with lower latency than previous methods.parTracking systems determine the user's pose by measuring signals from low-level hardware sensors. For reasons of physics and economics, most systems make multiple sequentialnewlinemeasurements which are then combined to produce a single tracker report. For example, commercial magnetic trackers using the SPASYN (Space Synchro) system sequentially measure three magnetic vectors and then combine them mathematically to produce a report of the sensor pose.parOur new approach produces tracker reports as each new low-level sensor measurement is made rather than waiting to form a complete collection of observations. Because single observationsnewlineunder-constrain the mathematical solution, we refer to our approach as single-constraint-at-a-time or SCAAT tracking. The key is that the single observations provide some information about the user's state, and thus can be used to incrementally improve anewlineprevious estimate. We recursively apply this principle, incorporating new sensor data as soon as it is measured. With this approach we are able to generate estimates more frequently, withnewlineless latency, and with improved accuracy. We present results from both an actual implementation, and from extensive simulations.},

keywords = {},

pubstate = {published},

tppubtype = {incollection}

}