detect.h

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#ifndef LIBMV_SIMPLE_PIPELINE_DETECT_H_
#define LIBMV_SIMPLE_PIPELINE_DETECT_H_
 
#include <iostream>
#include <vector>
 
#include "libmv/base/vector.h"
#include "libmv/image/image.h"
 
namespace libmv {
 
typedef unsigned char ubyte;
 
// A Feature is the 2D location of a detected feature in an image.
struct Feature {
  Feature(float x, float y) : x(x), y(y) {}
  Feature(float x, float y, float score, float size)
      : x(x), y(y), score(score), size(size) {}
 
  // Position of the feature in pixels from top-left corner.
  // Note: Libmv detector might eventually support subpixel precision.
  float x, y;
 
  // An estimate of how well the feature will be tracked.
  //
  // Absolute values totally depends on particular detector type
  // used for detection. It's only guaranteed that features with
  // higher score from the same Detect() result will be tracked better.
  float score;
 
  // An approximate feature size in pixels.
  //
  // If the feature is approximately a 5x5 square region, then size will be 5.
  // It can be used as an initial pattern size to track the feature.
  float size;
};
 
struct DetectOptions {
  DetectOptions();
 
  // TODO(sergey): Write descriptions to each of algorithms.
  enum DetectorType {
    FAST,
    MORAVEC,
    HARRIS,
  };
  DetectorType type;
 
  // Margin in pixels from the image boundary.
  // No features will be detected within the margin.
  int margin;
 
  // Minimal distance between detected features.
  int min_distance;
 
  // Minimum score to add a feature. Only used by FAST detector.
  //
  // TODO(sergey): Write more detailed documentation about which
  // units this value is measured in and so on.
  int fast_min_trackness;
 
  // Maximum count to detect. Only used by MORAVEC detector.
  int moravec_max_count;
 
  // Find only features similar to this pattern. Only used by MORAVEC detector.
  //
  // This is an image patch denoted in byte array with dimensions of 16px by
  // 16px used to filter features by similarity to this patch.
  unsigned char* moravec_pattern;
 
  // Threshold value of the Harris function to add new featrue
  // to the result.
  double harris_threshold;
};
 
// Detect features on a given image using given detector options.
//
// Image could have 1-4 channels, it'll be converted to a grayscale
// by the detector function if needed.
void Detect(const FloatImage& image,
            const DetectOptions& options,
            vector<Feature>* detected_features);
 
std::ostream& operator<<(std::ostream& os, const Feature& feature);
 
}  // namespace libmv
 
#endif