Showing papers by "Marc Levoy published in 2011"

Robust image alignment using block sums

Abstract: A computing device may select a source tile from a source image. From the source tile, the computing device may select a first rectangular feature and a second rectangular feature. Based on the first and second rectangular features, the computing device may calculate a source feature vector. The computing device may also select a search area of a target image, and a target tile within the within the search area. Based on the target tile, the computing device may calculate a target feature vector. The computing device may determine that a difference between the source feature vector and the target feature vector is below an error threshold, and based on this determination, further determine a mapping between the source image and the target image. The computing device may then apply the mapping to the source image to produce a transformed source image.

Limitations of Coherent Computer Generated Holograms

Abstract: Full coherence places limitations on even two-dimensional intensity patterns, e.g. in a Fraunhoffer CGH setup. Consequences of this result, feasible coherent patterns and niceties of partial coherence will be explored.

A dual in-pixel memory CMOS image sensor for computation photography

Abstract: We present a new image sensor to help applications like high-dynamic range, structured illumination, motion corrected photography, etc. by providing two analog memories in each pixel. Clever pixel design allowed us to create the smallest pixel size and the largest fill factor for this class of imager, while supporting dual global shutter operation and true correlated double sampling (CDS) readout from both in-pixel memories to cancel kTC noise.