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  2. Metropolis light transport - Wikipedia

    en.wikipedia.org/wiki/Metropolis_light_transport

    While creating this new path, the algorithm decides how many new 'nodes' to add and whether or not these new nodes will actually create a new path. Metropolis light transport is an unbiased method that, in some cases (but not always), converges to a solution of the rendering equation faster than other unbiased algorithms such as path tracing or ...

  3. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    The labeling include bounding boxes of traffic lights together with their state (active light). 5000 images for training and a video sequence of 8334 frames for evaluation Images Traffic light recognition 2017 [63] [64] Karsten Behrendt, Libor Novak, Rami Botros FRSign It is a dataset of French railway signals.

  4. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to ...

  5. Path tracing - Wikipedia

    en.wikipedia.org/wiki/Path_tracing

    The original light tracing and backwards path tracing algorithms are both special cases of these strategies. For light tracing, it is connecting the vertices of the camera path directly to the first vertex of the light path. For backwards path tracing, it is connecting the vertices of the light path to the first vertex of the camera path. In ...

  6. PyTorch Lightning - Wikipedia

    en.wikipedia.org/wiki/PyTorch_Lightning

    PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.

  7. Ray (optics) - Wikipedia

    en.wikipedia.org/wiki/Ray_(optics)

    Rays from each object point can be mathematically propagated to locate the corresponding point on the image. A slightly more rigorous definition of a light ray follows from Fermat's principle, which states that the path taken between two points by a ray of light is the path that can be traversed in the least time. [3]

  8. Phong reflection model - Wikipedia

    en.wikipedia.org/wiki/Phong_reflection_model

    The Phong reflection model was developed by Bui Tuong Phong at the University of Utah, who published it in his 1975 Ph.D. dissertation. [1] [2] It was published in conjunction with a method for interpolating the calculation for each individual pixel that is rasterized from a polygonal surface model; the interpolation technique is known as Phong shading, even when it is used with a reflection ...

  9. Segmentation-based object categorization - Wikipedia

    en.wikipedia.org/wiki/Segmentation-based_object...

    Given an image D containing an instance of a known object category, e.g. cows, the OBJ CUT algorithm computes a segmentation of the object, that is, it infers a set of labels m. Let m be a set of binary labels, and let Θ {\displaystyle \Theta } be a shape parameter( Θ {\displaystyle \Theta } is a shape prior on the labels from a layered ...