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We propose Deep Feature Interpolation (DFI), a new data-driven baseline for automatic high-resolution image transformation. As the name suggests, DFI relies only on simple linear interpolation of deep convolutional features from pre-trained convnets. We show that despite its simplicity, DFI can perform high-level semantic transformations like make older/younger, make bespectacled, add smile, among...
The light field, or plenoptic function, is a mathematical construct that models the location and direction of light to describe the complete visual appearance of a scene. The light field provides a unifying construct to describe cameras and displays. Explicitly manipulating the light field is an approach to changing the world to make it easier to understand. One way to create light fields is with...
Understanding the pose of an object is fundamental to a variety of visual tasks, from trajectory estimation of UAVs to object tracking for augmented reality. Fiducial markers are visual targets designed to simplify this process by being easy to detect, recognize, and track. They are often based on features that are partially invariant to lighting, pose and scale. Here we explore the opposite approach...
Many vision and augmented reality applications require knowing the rotation of the camera relative to an object or scene. In this paper we propose to create a structured light field designed explicitly to simplify the estimation of camera rotation. The light field is created using a lenticular sheet with a color coded backplane pattern, creating a lightfield where the observed color depends on the...
Five years ago we reported at AIPR on a nascent project to archive images from every webcam in the world and to develop algorithms to geo-locate, calibrate, and annotate this data. This archive of many outdoor scenes (AMOS) has now grown to include 28000 live outdoor cameras and over 630 million images. This is actively being used in projects ranging from large scale environmental monitoring to characterizing...
The web has an enormous collection of live cameras that image parks, roads, cities, beaches, mountains, buildings, parking lots. There are a wide variety of problems that could effectively use this massively distributed, scalable, and already existing camera network. To move towards this goal, this paper discusses ongoing research with the AMOS (Archive of Many Outdoor Scenes) database, which includes...
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