Abstract: A plenoptic otoscope captures images used in making a medical diagnosis. For example, the plenoptic data can be processed to produce enhanced imagery of the ear interior, and this enhanced imagery can be used in making a medical diagnosis.

Abstract: A system for converting a collection of data to a structured, printable and navigable document includes: an analyzer and a layout unit. The analyzer is coupled to receive a data collection source such as a web page associated with a wiki and other user parameters, and generates a representation of content associated with the data collection source. The output of the analyzer is coupled to an input of the layout unit to provide the representation of content. The layout unit is also coupled to receive a style sheet or other user preferences. The linearizer of the layout unit retrieves the necessary content using the representation of content. The retrieved content is then formatted by the layout selector of the layout unit to generate a paginated document and metadata. This output can then be printed on any conventional printer or manipulated and interacted with using applications or a web browser.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: A method, apparatus and article of manufacture for assisting a user with authoring a multimedia representation of documents. In one embodiment, the method comprises displaying one or more visual, audible, or audiovisual document elements from an input document in graphical user interface; and selecting one or more elements and for inclusion in a multimedia representation.

Abstract: A plenoptic otoscope enables three-dimensional and/or spectral imaging of the inside of the ear to assist in improved diagnosis of inflammations and infections. The plenoptic otoscope includes a primary imaging system and a plenoptic sensor. The primary imaging system includes an otoscope objective and relay optics, which cooperate to form an image of an inside of an ear at an intermediate image plane. The plenoptic sensor includes a microimaging array positioned at the intermediate image plane and a sensor array positioned at a conjugate of the pupil plane. An optional filter module may be positioned at the pupil plane or one of its conjugates to facilitate three-dimensional and/or spectral imaging.

Abstract: An adjustable multimode lightfield imaging system. A non-homogeneous filter module is positioned at the pupil plane of the lightfield imaging system and provides the multimode capability. The filter module can be moved relative to the imaging system with the exposure conditions adjusted accordingly, thus allowing adjustment of the multimode capability.

Abstract: A three-dimensional scene is modeled as a set of layers representing different depths of the scene, and as masks representing occlusions of layers by other layers. The layers are represented as linear combinations of atoms selected from an overcomplete dictionary. An iterative approach is used to alternately estimate the atom coefficients for layers from a light field image of the scene, assuming values for the masks, and to estimate the masks given the estimated layers. In one approach, the atoms in the dictionary are ridgelets oriented at different angles, where there is a correspondence between depth and angle.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: Calibration for plenoptic imaging systems. The calibration preferably is performed automatically by a processor. In one approach, the processor accesses a plenoptic image captured by the plenoptic imaging system. The plenoptic image is analyzed to determine reference points for superpixels of the plenoptic imaging system, for example the centers of the superpixels. The reference points are used to determine a location of each superpixel relative to the detector array.

Abstract: A method and apparatus for creating visualizations using tree functionals is described. In one embodiment, the method comprises representing a group of document images using a plurality of visualizations that visualize document layout information for the group of document images based on one or more display device characteristics and based on content of the group of documents, and adapting the plurality of visualizations to an available display by removing one or more visualizations from the plurality of visualizations based on at least two functional values.

Abstract: Metrics for characterizing the focusing of a plenoptic imaging system. In one aspect, the metric is based on the high frequency content and/or the blurring of the plenoptic image.

Abstract: Machine learning techniques are used to train a “dictionary” of input signal elements, such that input signals can be linearly decomposed into a few, sparse elements. This prior knowledge on the sparsity of the input signal leads to excellent reconstruction results via maximum-aposteriori estimation. The machine learning imposes certain properties on the learned dictionary (specifically, low coherence with the system response), which properties are important for reliable reconstruction.

Abstract: A method and apparatus for visualizing results from a text search engine are described. A query term is first received. A first set of results is generated based on the query term using a database storing documents, and an index of documents, each document having at least one structural element. Structural elements associated with the first set of results are retrieved. A second set of results is generated based a predefined relationship between the structure elements and the query term. A visualization of the second set of results is displayed.

Abstract: A method, apparatus and article of manufacture for creating visualizations of documents are described. In one embodiment, the method comprises receiving an electronic visual, audio, or audiovisual content; generating a display for authoring a multimedia representation of the received electronic content; receiving user input, if any, through the generated display; and generating a multimedia representation of the received electronic content utilizing received user input.

Abstract: A method and apparatus is disclosed herein for generating visualizations (e.g., icons) suitable for a specific display. In one embodiment, the method comprises selecting a group of document images having similar layout features suitable for visualization or a specific display from the plurality of document images based on layout analysis information corresponding to the plurality of document images, and creating a plurality of visualizations to visualize document layout information for a group of document images based on one or more display device characteristics and based on content of the group of documents.

Abstract: A stereo-imaging system estimates depth based on two images; a multiview-imaging system estimates depth based on two or more images. A passive multiview-imaging system based on a sensor array is designed by considering different candidate partitions of the sensor array into imaging subsystems, especially three or more imaging subsystems.

Abstract: A modular plenoptic imaging system, in which various components of the plenoptic imaging system can be detachably attached to each other. In this way, various primary lenses, filter modules, microlens arrays and/or sensor arrays can be interchanged.

Abstract: Metrics for characterizing the focusing of a plenoptic imaging system. In one aspect, the metric is based on the high frequency content and/or the blurring of the plenoptic image.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.