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  2. Tukey depth - Wikipedia

    en.wikipedia.org/wiki/Tukey_depth

    Tukey's depth measures how extreme a point is with respect to a point cloud. It is used to define the bagplot, a bivariate generalization of the boxplot. For example, for any extreme point of the convex hull there is always a (closed) halfspace that contains only that point, and hence its Tukey depth as a fraction is 1/n.

  3. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    The resultant SSIM index is a decimal value between -1 and 1, where 1 indicates perfect similarity, 0 indicates no similarity, and -1 indicates perfect anti-correlation. For an image, it is typically calculated using a sliding Gaussian window of size 11x11 or a block window of size 8×8.

  4. Z-buffering - Wikipedia

    en.wikipedia.org/wiki/Z-buffering

    Z-buffer data. A depth buffer, also known as a z-buffer, is a type of data buffer used in computer graphics to represent depth information of objects in 3D space from a particular perspective. The depth is stored as a height map of the scene, the values representing a distance to camera, with 0 being the closest.

  5. Multidimensional scaling - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_scaling

    This approach is referred to as the “Perception data : direct approach”. There are two other approaches. There is the “Perception data : derived approach” in which products are decomposed into attributes that are rated on a semantic differential scale. The other is the “Preference data approach” in which respondents are asked their ...

  6. Binocular neurons - Wikipedia

    en.wikipedia.org/wiki/Binocular_neurons

    Binocular neurons create depth perception through computation of relative and absolute disparity created by differences in the distance between the left and right eyes. Binocular neurons in the dorsal and ventral pathways combine to create depth perception, however, the two pathways perform differ in the type of stereo computation they perform. [7]

  7. Iterative deepening depth-first search - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_depth...

    All together, an iterative deepening search from depth all the way down to depth expands only about % more nodes than a single breadth-first or depth-limited search to depth , when =. [ 4 ] The higher the branching factor, the lower the overhead of repeatedly expanded states, [ 1 ] : 6 but even when the branching factor is 2, iterative ...

  8. Kinetic depth effect - Wikipedia

    en.wikipedia.org/wiki/Kinetic_depth_effect

    In visual perception, the kinetic depth effect is the phenomenon whereby the three-dimensional structural form of an object can be perceived when the object is moving. In the absence of other visual depth cues , this might be the only perception mechanism available to infer the object's shape.

  9. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    Iterative deepening A* (IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of a set of goal nodes in a weighted graph. It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the ...