Implementing Haar-Like 2D/3D Hand-crafted Features in MONAI

Is your feature request related to a problem? Please describe.
Sometimes machine learning problems require usage of hand-crafted features instead of learning these within the network.
This may be due to data constraints or cases where learning features may lead to degrading performance. Haar-Like features are one such category of hand-crafted features which have been widely used for object detection, e.g. face detection, organ detection/localization.

Describe the solution you'd like
An implementation of 2D and 3D Haar-Like features in PyTorch has been recently implementation that utilizes convolution layers within PyTorch to extract these hand-crafted features: https://github.com/masadcv/PyTorchHaarFeatures
Integrating these within MONAI will ensure wider applicability of this in other networks/techniques

Describe alternatives you've considered
Using the library directly (https://github.com/masadcv/PyTorchHaarFeatures) as additional install on top of MONAI

I can help draft a PR in coming days to add support for this in MONAI.

Start by reviewing the linked PyTorchHaarFeatures implementation to understand its 2D and 3D behavior, then inspect MONAI's existing module and testing conventions. Done means MONAI includes an integrated implementation supporting both dimensionalities with coverage for the exposed behavior.