We develop a numerical method for construction of an adaptive display image from a given display image which is an artificial scene displayed in a computer screen. The adaptive display image is encoded on an adaptive pixel mesh obtained by a merging scheme from the original pixel mesh. The cardinality of the adaptive pixel mesh is significantly less than that of the original pixel mesh. The resulting adaptive display image is the best [Formula: see text] piecewise constant approximation of the original display image. Under the assumption that a natural image, the real scene that we see, belongs to a Besov space, we provide the optimal [Formula: see text] error estimate between the adaptive display image and its original natural image. Experimental results are presented to demonstrate the visual quality, the approximation accuracy and the computational complexity of the adaptive display image.
more »
« less
Two ways to display: male hummingbirds show different color-display tactics based on sun orientation
- Award ID(s):
- 1702016
- PAR ID:
- 10101616
- Date Published:
- Journal Name:
- Behavioral Ecology
- Volume:
- 29
- Issue:
- 3
- ISSN:
- 1045-2249
- Page Range / eLocation ID:
- 637 to 648
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Boncz, Peter; Ozcan, Fatma; Patel, Jignesh (Ed.)Documentation of data is critical for understanding the semantics of data, understanding how data was created, and for raising aware- ness of data quality problem, errors, and assumptions. However, manually creating, maintaining, and exploring documentation is time consuming and error prone. In this work, we present our vi- sion for display-agnostic data documentation (DAD), a novel data management paradigm that aids users in dealing with documenta- tion for data. We introduce DataSense, a system implementing the DAD paradigm. Specifically, DataSense supports multiple types of documentation from free form text to structured information like provenance and uncertainty annotations, as well as several display formats for documentation. DataSense automatically computes documentation for derived data. A user study we conducted with uncertainty documentation produced by DataSense demonstrates the benefits of documentation management.more » « less
-
Rendering for light field displays (LFDs) requires rendering of dozens or hundreds of views, which must then be combined into a single image on the display, making real-time LFD rendering extremely difficult. We introduce light field display point rendering (LFDPR), which meets these challenges by improving eye-based point rendering [Gavane and Watson 2023] with texture-based splatting, which avoids oversampling of triangles mapped to only a few texels; and with LFD-biased sampling, which adjusts horizontal and vertical triangle sampling to match the sampling of the LFD itself. To improve image quality, we introduce multiview mipmapping, which reduces texture aliasing even though compute shaders do not support hardware mipmapping. We also introduce angular supersampling and reconstruction to combat LFD view aliasing and crosstalk. The resulting LFDPR is 2-8x times faster than multiview rendering, with similar comparable quality.more » « less
-
null (Ed.)Documentation of data is critical for understanding the semantics of data, understanding how data was created, and for raising awareness of data quality problem, errors, and assumptions. However, manually creating, maintaining, and exploring documentation is time consuming and error prone. In this work, we present our vision for display-agnostic data documentation (DAD), a novel data management paradigm that aids users in dealing with documentation for data. We introduce DataSense, a system implementing the DAD paradigm. Specifically, DataSense supports multiple types of documentation from free form text to structured information like provenance and uncertainty annotations, as well as several display formats for documentation. DataSense automatically computes documentation for derived data. A user study we conducted with uncertainty documentation produced by DataSense demonstrates the benefits of documentation management.more » « less
An official website of the United States government

