Julienne 发表于 2025-3-21 16:26:14

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有角 发表于 2025-3-21 22:01:33

Image Segmentation by Branch-and-Mincut introducing a high-level prior such as a shape prior or a color-distribution prior into the segmentation process typically results in an energy that is much harder to optimize. The main contribution of the paper is a new global optimization framework for a wide class of such energies. The framework

后天习得 发表于 2025-3-22 03:51:26

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玩忽职守 发表于 2025-3-22 05:22:04

Light-Efficient Photography by (1) collecting a sequence of photos and (2) controlling the aperture, focus and exposure time of each photo individually, we can span the given depth of field in less total time than it takes to expose a single narrower-aperture photo. Using this as a starting point, we obtain two key results. F

synovial-joint 发表于 2025-3-22 10:23:22

Flexible Depth of Field Photographye-off between depth of field and signal-to-noise ratio (SNR). For a dark scene, the aperture of the lens must be opened up to maintain SNR, which causes the DOF to reduce. Also, today’s cameras have DOFs that correspond to a single slab that is perpendicular to the optical axis. In this paper, we pr

justify 发表于 2025-3-22 16:50:11

Priors for Large Photo Collections and What They Reveal about Camerasel priors for statistics of such large photo collections that are independent of these factors. We then propose that properties of these factors can be recovered by examining the deviation between these statistical priors and the statistics of a slice of the overall photo collection that holds one f

justify 发表于 2025-3-22 19:50:10

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daredevil 发表于 2025-3-23 00:27:23

CenSurE: Center Surround Extremas for Realtime Feature Detection and Matchinga: stability (persistence across viewpoint change) and accuracy (consistent localization across viewpoint change). In addition to the now-standard SIFT, SURF, FAST, and Harris detectors, we introduce a suite of scale-invariant center-surround detectors (CenSurE) that outperform the other detectors,

Synthesize 发表于 2025-3-23 01:44:30

Searching the World’s Herbaria: A System for Visual Identification of Plant Speciesnd, and the system extracts the leaf shape and matches it to the shape of leaves of known species. In a few seconds, the system displays the top matching species, along with textual descriptions and additional images. This system is currently in use by botanists at the Smithsonian Institution Nation

Acumen 发表于 2025-3-23 08:00:27

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查看完整版本: Titlebook: Computer Vision - ECCV 2008; 10th European Confer David Forsyth,Philip Torr,Andrew Zisserman Conference proceedings 2008 Springer-Verlag Be