#include <opencv2/3d/odometry.hpp>
|
| Odometry () |
|
| Odometry (OdometryType otype) |
|
| Odometry (OdometryType otype, const OdometrySettings &settings, OdometryAlgoType algtype) |
|
| ~Odometry () |
|
bool | compute (const OdometryFrame &srcFrame, const OdometryFrame &dstFrame, OutputArray Rt) const |
|
bool | compute (InputArray srcDepth, InputArray dstDepth, OutputArray Rt) const |
| Compute Rigid Transformation between two frames so that Rt * src = dst.
|
|
bool | compute (InputArray srcDepth, InputArray srcRGB, InputArray dstDepth, InputArray dstRGB, OutputArray Rt) const |
| Compute Rigid Transformation between two frames so that Rt * src = dst.
|
|
Ptr< RgbdNormals > | getNormalsComputer () const |
| Get the normals computer object used for normals calculation (if presented). The normals computer is generated at first need during prepareFrame when normals are required for the ICP algorithm but not presented by a user. Re-generated each time the related settings change or a new frame arrives with the different size.
|
|
void | prepareFrame (OdometryFrame &frame) const |
|
void | prepareFrames (OdometryFrame &srcFrame, OdometryFrame &dstFrame) const |
|
◆ Odometry() [1/3]
cv::Odometry::Odometry |
( |
| ) |
|
Python: |
---|
| cv.Odometry( | | ) -> | <Odometry object> |
| cv.Odometry( | otype | ) -> | <Odometry object> |
| cv.Odometry( | otype, settings, algtype | ) -> | <Odometry object> |
◆ Odometry() [2/3]
Python: |
---|
| cv.Odometry( | | ) -> | <Odometry object> |
| cv.Odometry( | otype | ) -> | <Odometry object> |
| cv.Odometry( | otype, settings, algtype | ) -> | <Odometry object> |
◆ Odometry() [3/3]
Python: |
---|
| cv.Odometry( | | ) -> | <Odometry object> |
| cv.Odometry( | otype | ) -> | <Odometry object> |
| cv.Odometry( | otype, settings, algtype | ) -> | <Odometry object> |
◆ ~Odometry()
cv::Odometry::~Odometry |
( |
| ) |
|
◆ compute() [1/3]
Python: |
---|
| cv.Odometry.compute( | srcFrame, dstFrame[, Rt] | ) -> | retval, Rt |
| cv.Odometry.compute( | srcDepth, dstDepth[, Rt] | ) -> | retval, Rt |
| cv.Odometry.compute( | srcDepth, srcRGB, dstDepth, dstRGB[, Rt] | ) -> | retval, Rt |
Compute Rigid Transformation between two frames so that Rt * src = dst Both frames, source and destination, should have been prepared by calling prepareFrame() first
- Parameters
-
srcFrame | src frame ("original" image) |
dstFrame | dst frame ("rotated" image) |
Rt | Rigid transformation, which will be calculated, in form: { R_11 R_12 R_13 t_1 R_21 R_22 R_23 t_2 R_31 R_32 R_33 t_3 0 0 0 1 } |
- Returns
- true on success, false if failed to find the transformation
◆ compute() [2/3]
Python: |
---|
| cv.Odometry.compute( | srcFrame, dstFrame[, Rt] | ) -> | retval, Rt |
| cv.Odometry.compute( | srcDepth, dstDepth[, Rt] | ) -> | retval, Rt |
| cv.Odometry.compute( | srcDepth, srcRGB, dstDepth, dstRGB[, Rt] | ) -> | retval, Rt |
Compute Rigid Transformation between two frames so that Rt * src = dst.
- Parameters
-
srcDepth | source depth ("original" image) |
dstDepth | destination depth ("rotated" image) |
Rt | Rigid transformation, which will be calculated, in form: { R_11 R_12 R_13 t_1 R_21 R_22 R_23 t_2 R_31 R_32 R_33 t_3 0 0 0 1 } |
- Returns
- true on success, false if failed to find the transformation
◆ compute() [3/3]
Python: |
---|
| cv.Odometry.compute( | srcFrame, dstFrame[, Rt] | ) -> | retval, Rt |
| cv.Odometry.compute( | srcDepth, dstDepth[, Rt] | ) -> | retval, Rt |
| cv.Odometry.compute( | srcDepth, srcRGB, dstDepth, dstRGB[, Rt] | ) -> | retval, Rt |
Compute Rigid Transformation between two frames so that Rt * src = dst.
- Parameters
-
srcDepth | source depth ("original" image) |
srcRGB | source RGB |
dstDepth | destination depth ("rotated" image) |
dstRGB | destination RGB |
Rt | Rigid transformation, which will be calculated, in form: { R_11 R_12 R_13 t_1 R_21 R_22 R_23 t_2 R_31 R_32 R_33 t_3 0 0 0 1 } |
- Returns
- true on success, false if failed to find the transformation
◆ getNormalsComputer()
Python: |
---|
| cv.Odometry.getNormalsComputer( | | ) -> | retval |
Get the normals computer object used for normals calculation (if presented). The normals computer is generated at first need during prepareFrame when normals are required for the ICP algorithm but not presented by a user. Re-generated each time the related settings change or a new frame arrives with the different size.
◆ prepareFrame()
Python: |
---|
| cv.Odometry.prepareFrame( | frame | ) -> | None |
Prepare frame for odometry calculation
- Parameters
-
frame | odometry prepare this frame as src frame and dst frame simultaneously |
◆ prepareFrames()
Python: |
---|
| cv.Odometry.prepareFrames( | srcFrame, dstFrame | ) -> | None |
Prepare frame for odometry calculation
- Parameters
-
srcFrame | frame will be prepared as src frame ("original" image) |
dstFrame | frame will be prepared as dsr frame ("rotated" image) |
The documentation for this class was generated from the following file: