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  2. Holtzman Inkblot Technique - Wikipedia

    en.wikipedia.org/wiki/Holtzman_Inkblot_Technique

    5: Form Definiteness (FD) the definiteness of the form of the concept reported, regardless of the goodness of fit to the inkblot. a 5-point scale with 0=very vague and 4=very specific 6: Form Appropriateness (FA) the goodness of fit of the form of the percept to the form of the inkblot. Score 0=poor 1=fair, 2=good 7: Color (C)

  3. Chess piece relative value - Wikipedia

    en.wikipedia.org/wiki/Chess_piece_relative_value

    In chess, a relative value (or point value) is a standard value conventionally assigned to each piece. Piece valuations have no role in the rules of chess but are useful as an aid to evaluating a position. The best-known system assigns 1 point to a pawn, 3 points to a knight or bishop, 5 points to a rook and 9 points to a queen. Valuation ...

  4. Vividness of Visual Imagery Questionnaire - Wikipedia

    en.wikipedia.org/wiki/Vividness_of_Visual...

    The VVIQ consists of 16 items in four groups of 4 items in which the participant is invited to consider the mental image formed in thinking about specific scenes and situations. The vividness of the image is rated along a 5-point scale. The questionnaire has been widely used as a measure of individual differences in vividness of visual imagery.

  5. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity. Note that the special characteristics of vectors allow for greater resolution example images. The other algorithms are standardized to a resolution of 160x160 and 218x80 pixels respectively.

  6. Essential matrix - Wikipedia

    en.wikipedia.org/wiki/Essential_matrix

    The essential matrix can be seen as a precursor to the fundamental matrix, .Both matrices can be used for establishing constraints between matching image points, but the fundamental matrix can only be used in relation to calibrated cameras since the inner camera parameters (matrices and ′) must be known in order to achieve the normalization.

  7. Harris affine region detector - Wikipedia

    en.wikipedia.org/wiki/Harris_affine_region_detector

    In the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of feature detection.Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or interest points so to make correspondences between images, recognize textures, categorize objects or build panoramas.

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Harris corner detector - Wikipedia

    en.wikipedia.org/wiki/Harris_corner_detector

    If we use Harris corner detector in a color image, the first step is to convert it into a grayscale image, which will enhance the processing speed. The value of the gray scale pixel can be computed as a weighted sums of the values R, B and G of the color image, {,,}, where, e.g.,