Building the View Graph of a Category by Exploiting Image Realism

We propose a weakly supervised method to arrange images of a given category based on the relative pose between the camera and the object in the scene. Relative poses are points on a sphere centered at the object in a given canonical pose, which we call object viewpoints. Our method builds a graph on this sphere by assigning images with similar viewpoint to the same node and by connecting nodes if they are related by a small rotation. The key idea is to exploit a large unlabeled dataset to validate the likelihood of dominant 3D planes of the object geometry. A number of 3D plane hypotheses are evaluated by applying small 3D rotations to each hypothesis and by measuring how well the deformed images match other images in the dataset. Correct hypotheses will result in deformed images that correspond to plausible views of the object, and thus will likely match well other images in the same category. The identified 3D planes are then used to compute affinities between images related by a change of viewpoint. We then use the affinities to build a view graph via a greedy method and the maximum spanning tree.

Efficient methodologies for system matrix modelling in iterative image reconstruction for rotating high-resolution PET

A fully 3D iterative image reconstruction algorithm has been developed for high-resolution PET cameras composed of pixelated scintillator crystal arrays and rotating planar detectors, based on the ordered subsets approach. The associated system matrix is precalculated with Monte Carlo methods that incorporate physical effects not included in analytical models, such as positron range effects and interaction of the incident gammas with the scintillator material. Custom Monte Carlo methodologies have been developed and optimized for modelling of system matrices for fast iterative image reconstruction adapted to specific scanner geometries, without redundant calculations. According to the methodology proposed here, only one-eighth of the voxels within two central transaxial slices need to be modelled in detail. The rest of the system matrix elements can be obtained with the aid of axial symmetries and redundancies, as well as in-plane symmetries within transaxial slices. Sparse matrix techniques for the non-zero system matrix elements are employed, allowing for fast execution of the image reconstruction process. This 3D image reconstruction scheme has been compared in terms of image quality to a 2D fast implementation of the OSEM algorithm combined with Fourier rebinning approaches. This work confirms the superiority of fully 3D OSEM in terms of spatial resolution, contrast recovery and noise reduction as compared to conventional 2D approaches based on rebinning schemes. At the same time it demonstrates that fully 3D methodologies can be efficiently applied to the image reconstruction problem for high-resolution rotational PET cameras by applying accurate pre-calculated system models and taking advantage of the system's symmetries.

D. Iacobi Perez de Valêtia... ordinis diui Agustini obseruantissimi... diuine plane expositiones in... psalmos Davidicos... habes... adnotamenta marginalia... : cum indice...

Copia digital: Biblioteca valenciana, 2010

Crystal structure of D-amino acid oxidase: a case of active site mirror-image convergent evolution with flavocytochrome b2.

D-amino acid oxidase is the prototype of the FAD-dependent oxidases. It catalyses the oxidation of D-amino acids to the corresponding alpha-ketoacids. The reducing equivalents are transferred to molecular oxygen with production of hydrogen peroxide. We have solved the crystal structure of the complex of D-amino acid oxidase with benzoate, a competitive inhibitor of the substrate, by single isomorphous replacement and eightfold averaging. Each monomer is formed by two domains with an overall topology similar to that of p-hydroxybenzoate hydroxylase. The benzoate molecule lays parallel to the flavin ring and is held in position by a salt bridge with Arg-283. Analysis of the active site shows that no side chains are properly positioned to act as the postulated base required for the catalytic carboanion mechanism. On the contrary, the benzoate binding mode suggests a direct transfer of the substrate alpha-hydrogen to the flavin during the enzyme reductive half-reaction.The active site Of D-amino acid oxidase exhibits a striking similarity with that of flavocytochrome b2, a structurally unrelated FMN-dependent flavoenzyme. The active site groups (if these two enzymes are in fact superimposable once the mirror-image of the flavocytochrome b2 active site is generated with respect to the flavin plane. Therefore, the catalytic sites of D-amino acid oxidase and flavocytochrome b2 appear to have converged to a highly similar but enantiomeric architecture in order to catalvze similar reactions (oxidation of alpha-amino acids or alpha-hydroxy acids), although with opposite stereochemistry.

Lipid monolayer image dipoles.

A simple model is described for calculating the electrostatic energy of lipid domains at the air-water interface, taking account of dipole-dipole repulsions between the lipid molecules themselves, as well as interactions between the molecular dipoles and image dipoles in the subphase. The model assumes that the molecular dipoles within the monolayer arise from the terminal methyl groups of the hydrophobic hydrocarbon chains of the lipid molecules, and that on average they are oriented perpendicular to the plane of the monolayer. With this model the role of the subphase is to enhance rather than suppress the effects of dipole-dipole repulsions.

Spatial organization of retinal information about the direction of image motion.

The visual stimuli that elicit neural activity differ for different retinal ganglion cells and these cells have been categorized by the visual information that they transmit. If specific visual information is conveyed exclusively or primarily by a particular set of ganglion cells, one might expect the cells to be organized spatially so that their sampling of information from the visual field is complete but not redundant. In other words, the laterally spreading dendrites of the ganglion cells should completely cover the retinal plane without gaps or significant overlap. The first evidence for this sort of arrangement, which has been called a tiling or tessellation, was for the two types of "alpha" ganglion cells in cat retina. Other reports of tiling by ganglion cells have been made subsequently. We have found evidence of a particularly rigorous tiling for the four types of ganglion cells in rabbit retina that convey information about the direction of retinal image motion (the ON-OFF direction-selective cells). Although individual cells in the four groups are morphologically indistinguishable, they are organized as four overlaid tilings, each tiling consisting of like-type cells that respond preferentially to a particular direction of retinal image motion. These observations lend support to the hypothesis that tiling is a general feature of the organization of information outflow from the retina and clearly implicate mechanisms for recognition of like-type cells and establishment of mutually acceptable territories during retinal development.

Method for targetless tracking subpixel in-plane movements

We present a targetless motion tracking method for detecting planar movements with subpixel accuracy. This method is based on the computation and tracking of the intersection of two nonparallel straight-line segments in the image of a moving object in a scene. The method is simple and easy to implement because no complex structures have to be detected. It has been tested and validated using a lab experiment consisting of a vibrating object that was recorded with a high-speed camera working at 1000 fps. We managed to track displacements with an accuracy of hundredths of pixel or even of thousandths of pixel in the case of tracking harmonic vibrations. The method is widely applicable because it can be used for distance measuring amplitude and frequency of vibrations with a vision system.

Worcester, Massachusetts, ca. 1860 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of the city of Worcester, Mass. : from actual surveys under the direction of P. Ball, C.E. It was published by Smith & Mc.Kinney, between 1850 and 1860. Scale [ca. 1:3,600]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001) coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, public buildings, schools, industry locations (e.g. mills, factories, etc.), selected private buildings with names of property owners, town and ward boundaries, cemeteries, and more. Includes also engravings of important buildings and advertisements in margins. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Brookfield, North Brookfield, West Brookfield, & East Brookfield, Massachusetts, 1855 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of the towns of Brookfield, North Brookfield, West Brookfield, Worcester County, Mass, surveyed & drawn by L. Fagan. It was published by Richard Clark in 1855. Scale [ca. 1:21,120]. Covers the towns of Brookfield, East Brookfield, North Brookfield, and West Brookfield, Massachusetts. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001) coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), selected private buildings with names of property owners, town boundaries, and more. Relief shown by hachures. Includes also town center insets and selected building illustrations.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Lowell, Massachusetts, 1850 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan of the city of Lowell, Massachusetts, from actual surveys by Sidney & Neff. It was published by S. Moody in 1850. Scale [ca. 1:3,450]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001) coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, canals, drainage, public buildings, schools, churches, parks, industry locations (e.g. mills, factories, etc.), private buildings with names of property owners, and more. Relief shown by hachures. Includes also illustrations of local buildings in margins.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Hubbardston, Massachusetts, 1855 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of the town of Hubbardston, Worcester County, Massachusetts. It was published by Richard Clark in 1855. Scale [ca. 1:18,100]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001) coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town and district boundaries, and more. Relief shown by hachures. Includes 11 vignettes of local buildings and inset of town center with building footprints.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Petersham, Massachusetts, 1855 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of the town of Petersham, Worcester County, Massachusetts, from actual survey by E .M. Woodford. It was published by Richard Clark in 1855. Scale [ca. 1:20,000]. Covers a portion of the town of Petersham. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001) coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, public buildings, schools, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town and district boundaries, and more. Includes list of subscribers, inset of town center, and 14 views of town buildings and residences.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Stockbridge and West Stockbridge, Massachusetts, 1855 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan of the towns of Stockbridge and West Stockbridge : Berkshire County, Massachusetts by E.M. Woodford. It was published by Richard Clark in 1855. Scale [ca. 1:15,700]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001) coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town boundaries, and more. Relief shown by hachures. Includes also 3 insets and illustrations of some town buildings.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Cincinnati, Ohio, 1893 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of Cincinnati and vicinity : compiled for Williams' Cincinnati directory, by E.F. Layman, civil engineer; engraved by the Henderson-Achert-Krebs Lithographing Co. It was published by Williams & Co. in 1893. Scale [ca. 1:15,000]. Covers also parts of Kentucky below the Ohio River.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Ohio South State Plane NAD 1983 coordinate system (in Feet) (Fipszone 3402). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, selected buildings, city ward boundaries, drainage, parks, cemeteries, and more. Includes index.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Cleveland, Ohio, 1883 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: The only correct map of the city of Cleveland, issued in 1883 by the Cleveland Directory Co. It was published by Cleveland Directory Co. in 1883. Scale [ca. 1:19,200]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Ohio North State Plane NAD 1983 coordinate system (in Feet) (Fipszone 3401). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, street railways, drainage, parks, cemeteries, ward boundaries, selected public buildings, and more. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.