Matching🔗
On this topic🔗
Correlation-Based🔗
clear_ncc_model: Free the memory of an NCC model.
create_ncc_model: Prepare an NCC model for matching.
deserialize_ncc_model: Deserialize an NCC model.
determine_ncc_model_params: Determine the parameters of an NCC model.
find_ncc_model: Find the best matches of an NCC model in an image.
find_ncc_models: Find the best matches of multiple NCC models.
get_ncc_model_origin: Return the origin (reference point) of an NCC model.
get_ncc_model_params: Return the parameters of an NCC model.
get_ncc_model_region: Return the region used to create an NCC model.
read_ncc_model: Read an NCC model from a file.
serialize_ncc_model: Serialize an NCC model.
set_ncc_model_origin: Set the origin (reference point) of an NCC model.
set_ncc_model_param: Set selected parameters of the NCC model.
write_ncc_model: Write an NCC model to a file.
Deep Counting🔗
apply_deep_counting_model: Apply a Deep Counting model on a set of images for inference.
create_deep_counting_model: Create a Deep Counting model for counting objects.
get_deep_counting_model_param: Return the parameters of a Deep Counting model.
prepare_deep_counting_model: Set templates of a Deep Counting model.
read_deep_counting_model: Read a Deep Counting model from a file.
set_deep_counting_model_param: Set selected parameters of the Deep Counting model.
write_deep_counting_model: Write a Deep Counting model in a file.
Deformable🔗
clear_deformable_model: Free the memory of a deformable model.
create_local_deformable_model: Creates a deformable model for local, deformable matching.
create_local_deformable_model_xld: Prepare a deformable model for local deformable matching from XLD contours.
create_planar_calib_deformable_model: Create a deformable model for calibrated perspective matching.
create_planar_calib_deformable_model_xld: Prepare a deformable model for planar calibrated matching from XLD contours.
create_planar_uncalib_deformable_model: Creates a deformable model for uncalibrated, perspective matching.
create_planar_uncalib_deformable_model_xld: Prepare a deformable model for planar uncalibrated matching
from XLD contours.
deserialize_deformable_model: Deserialize a deformable model.
determine_deformable_model_params: Determine the parameters of a deformable model.
find_local_deformable_model: Find the best matches of a local deformable model in an image.
find_planar_calib_deformable_model: Find the best matches of a calibrated deformable model in an image and return
their 3D pose.
find_planar_uncalib_deformable_model: Find the best matches of a planar projective invariant deformable model
in an image.
get_deformable_model_contours: Return the contour representation of a deformable model.
get_deformable_model_origin: Return the origin (reference point) of a deformable model.
get_deformable_model_params: Return the parameters of a deformable model.
read_deformable_model: Read a deformable model from a file.
serialize_deformable_model: Serialize a deformable model.
set_deformable_model_origin: Set the origin (reference point) of a deformable model.
set_deformable_model_param: Set selected parameters of the deformable model.
set_local_deformable_model_metric: Set the metric of a local deformable model that was created from XLD
contours.
set_planar_calib_deformable_model_metric: Set the metric of a planar calibrated deformable model that was created
from XLD contours.
set_planar_uncalib_deformable_model_metric: Set the metric of a planar uncalibrated deformable model that was created
from XLD contours.
write_deformable_model: Write a deformable model to a file.
Descriptor-Based🔗
clear_descriptor_model: Free the memory of a descriptor model.
create_calib_descriptor_model: Create a descriptor model for calibrated perspective matching.
create_uncalib_descriptor_model: Prepare a descriptor model for interest point matching.
deserialize_descriptor_model: Deserialize a descriptor model.
find_calib_descriptor_model: Find the best matches of a calibrated descriptor model in an image and
return their 3D pose.
find_uncalib_descriptor_model: Find the best matches of a descriptor model in an image.
get_descriptor_model_origin: Return the origin of a descriptor model.
get_descriptor_model_params: Return the parameters of a descriptor model.
get_descriptor_model_points: Query the interest points of the descriptor model or the last processed
search image.
get_descriptor_model_results: Query alphanumerical results that were accumulated during descriptor-based
matching.
read_descriptor_model: Read a descriptor model from a file.
serialize_descriptor_model: Serialize a descriptor model.
set_descriptor_model_origin: Sets the origin of a descriptor model.
write_descriptor_model: Write a descriptor model to a file.
Shape-Based🔗
adapt_shape_model_high_noise: Adapt a shape model’s parameters for high noise images.
clear_shape_model: Free the memory of a shape model.
create_aniso_shape_model: Prepare an anisotropically scaled shape model for matching.
create_aniso_shape_model_xld: Prepare an anisotropically scaled shape model for matching
from XLD contours.
create_generic_shape_model: Create a shape model.
create_scaled_shape_model: Prepare an isotropically scaled shape model for matching.
create_scaled_shape_model_xld: Prepare an isotropically scaled shape model for matching from XLD contours.
create_shape_model: Prepare a shape model for matching.
create_shape_model_xld: Prepare a shape model for matching from XLD contours.
deserialize_shape_model: Deserialize a serialized shape model.
determine_shape_model_params: Determine the parameters of a shape model.
find_aniso_shape_model: Find the best matches of an anisotropically scaled shape model
in an image.
find_aniso_shape_models: Find the best matches of multiple anisotropically scaled shape
models.
find_generic_shape_model: Find the best matches of one or multiple shape models in an image.
find_scaled_shape_model: Find the best matches of an isotropically scaled shape model in an image.
find_scaled_shape_models: Find the best matches of multiple isotropically scaled shape models.
find_shape_model: Find the best matches of a shape model in an image.
find_shape_models: Find the best matches of multiple shape models.
get_generic_shape_model_object: Get iconic objects of the shape model.
get_generic_shape_model_param: Return the parameters of a shape model.
get_generic_shape_model_result: Get alphanumerical values from a shape matching result.
get_generic_shape_model_result_object: Get objects from a shape matching result.
get_shape_model_clutter: Get the clutter parameters of a shape model.
get_shape_model_contours: Return the contour representation of a shape model.
get_shape_model_origin: Return the origin (reference point) of a shape model.
get_shape_model_params: Return the parameters of a shape model.
inspect_shape_model: Create the representation of a shape model.
read_shape_model: Read a shape model from a file.
serialize_shape_model: Serialize a shape model.
set_generic_shape_model_object: Set iconic objects to the shape model.
set_generic_shape_model_param: Set selected parameters of the shape model.
set_shape_model_clutter: Set the clutter parameters of a shape model.
set_shape_model_metric: Set the metric of a shape model that was created from XLD contours.
set_shape_model_origin: Set the origin (reference point) of a shape model.
set_shape_model_param: Set selected parameters of the shape model.
train_generic_shape_model: Train a shape model for matching.
write_shape_model: Write a shape model to a file.