* \returns The index parameters */

* \returns The index parameters */

@brief Returns output quality map that was generated during computation, if supported by the algorithm */

method for getting the scalling factor

@brief Get sign bit */

* */

Returns the start point of the line in the original image */

Returns the start point of the line in the octave it was extracted from */

* \brief Get sampling step T at pyramid_level. */

returns passed time in microseconds. */

No synchronization

* @return The index type */

* \returns The index type (kdtree, kmeans,...) */

通过窗口标题获取句柄和 PID

return mat of observed min/max pair per column row 0: min per column row 1: max per column template <typename T>

Hamming distance computation method leftImage and rightImage are the two transformed images the cost is the resulted cost volume and kernel Size is th

a pre processing function that generates the Hamming LUT in case the algorithm will ever be used on platform where SSE is not available

@name Check SIMD support @{ @brief Check CPU capability of SIMD operation

@name Check SIMD support @{ @brief Check CPU capability of SIMD operation

@name Check SIMD256 support @{ @brief Check CPU capability of SIMD operation

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