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Showing 1 to 5 of 5 for “"Low-level Vision"”.

  1. Machine learning of image analysis with convolutional networks and topological constraints

    We present an approach to solving computer vision problems in which the goal is to produce a high-dimensional, pixel-based interpretation of some aspect of the underlying structure of an image. Such tasks have traditionally been categorized as ''low-level vision'' problems, and examples include …

    mit Repository record for Machine learning of image analysis with convolutional networks and topological constraints (opens in a new tab)

  2. Visual Attention in Dynamic Environments and its Application to Playing Online Games

    … of visual system and interaction between the low-level vision and higher-level task demands. Abstract We implement a subset of CPs for playing online video games in real time using only visual input. Two commercial closed-source games - Canabalt and Robot Unicorn Attack - are used for …

    york Repository record for Visual Attention in Dynamic Environments and its Application to Playing Online Games (opens in a new tab)

  3. Playing It by Eye: Stimulus Based Effects on Attention Patterns in Shopping

    … fixation location as assessed by two models of low-level vision, the statistical salience model (Itti & Koch, 2001) and the feature congestion model (Rosenholtz, Li & Nakano, 2007). Experiment 2 extended these findings by finding a significant correlation between changes in visual properties and …

    uiuc Repository record for Playing It by Eye: Stimulus Based Effects on Attention Patterns in Shopping (opens in a new tab)

  4. Monocular and Binocular Visual Tracking

    … of the most important applications of computer vision. Several tracking systems have been developed which either focus mainly on the tracking of targets moving on a plane, or attempt to reduce the 3-dimensional tracking problem to the tracking of a set of characteristic points of the target. …

    vt Repository record for Monocular and Binocular Visual Tracking (opens in a new tab)

  5. Exploring the Internal Statistics: Single Image Super-Resolution, Completion and Captioning

    … statistics. This framework hinges on image-level hallucination from externally learned regression models as well as gradient level pyramid self-awareness for edges and textures refinement. The framework is then employed to break the resolution limitation of the passive microwave imagery and …

    cuny-grad Repository record for Exploring the Internal Statistics: Single Image Super-Resolution, Completion and Captioning (opens in a new tab)