1 #ifndef ANDROID_DVR_EIGEN_H_ 2 #define ANDROID_DVR_EIGEN_H_ 3 4 #include <Eigen/Core> 5 #include <Eigen/Geometry> 6 7 namespace Eigen { 8 9 // Eigen doesn't take advantage of C++ template typedefs, but we can 10 template <class T, int N> 11 using Vector = Matrix<T, N, 1>; 12 13 template <class T> 14 using Vector2 = Vector<T, 2>; 15 16 template <class T> 17 using Vector3 = Vector<T, 3>; 18 19 template <class T> 20 using Vector4 = Vector<T, 4>; 21 22 template <class T, int N> 23 using RowVector = Matrix<T, 1, N>; 24 25 template <class T> 26 using RowVector2 = RowVector<T, 2>; 27 28 template <class T> 29 using RowVector3 = RowVector<T, 3>; 30 31 template <class T> 32 using RowVector4 = RowVector<T, 4>; 33 34 // In Eigen, the type you should be using for transformation matrices is the 35 // `Transform` class, instead of a raw `Matrix`. 36 // The `Projective` option means this will not make any assumptions about the 37 // last row of the object, making this suitable for use as general OpenGL 38 // projection matrices (which is the most common use-case). The one caveat 39 // is that in order to apply this transformation to non-homogeneous vectors 40 // (e.g., vec3), you must use the `.linear()` method to get the affine part of 41 // the matrix. 42 // 43 // Example: 44 // mat4 transform; 45 // vec3 position; 46 // vec3 transformed = transform.linear() * position; 47 // 48 // Note, the use of N-1 is because the parameter passed to Eigen is the ambient 49 // dimension of the transformation, not the size of the matrix iself. 50 // However graphics programmers sometimes get upset when they see a 3 next 51 // to a matrix when they expect a 4, so I'm hoping this will avoid that. 52 template <class T, int N> 53 using AffineMatrix = Transform<T, N-1, Projective>; 54 55 } // namespace Eigen 56 57 #endif // ANDROID_DVR_EIGEN_H_ 58
