Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work,  propose a new dataset for 3D object recognition using the new high-resolution Kinect V2 sensor and some other popular low-cost devices like PrimeSense Carmine. Since most already existing datasets for 3D object recognition lack some features such as 3D pose information about objects in the scene, per pixel segmentation or level of occlusion,  propose a new one combining all this information in a single dataset that can be used to validate existing and new 3D object recognition algorithms. Moreover, with the advent of the new Kinect V2 sensor  are able to provide high-resolution data for RGB and depth information using a single sensor, whereas other datasets had to combine multiple sensors. In addition,  will also provide semiautomatic segmentation and semantic labels about the different parts of the objects so that the dataset could be used for testing robot grasping and scene labeling systems as ll as for object recognition.
['Alberto Garcia-Garcia', 'Sergio Orts-Escolano', 'Sergiu Oprea', 'Jose Garcia-Rodriguez', 'Jorge Azorin-Lopez', 'Marcelo Saval-Calvo', 'Miguel Cazorla']
I am writing a research paper on a idea Multi-sensor 3D object dataset for object recognition with full pose estimation
[{"from": "human", "value": "I am writing a research paper on a idea Multi-sensor 3D object dataset for object recognition with full pose estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work,  propose a new dataset for 3D object recognition using the new high-resolution Kinect V2 sensor and some other popular low-cost devices like PrimeSense Carmine. Since most already existing datasets for 3D object recognition lack some features such as 3D pose information about objects in the scene, per pixel segmentation or level of occlusion,  propose a new one combining all this information in a single dataset that can be used to validate existing and new 3D object recognition algorithms. Moreover, with the advent of the new Kinect V2 sensor  are able to provide high-resolution data for RGB and depth information using a single sensor, whereas other datasets had to combine multiple sensors. In addition,  will also provide semiautomatic segmentation and semantic labels about the different parts of the objects so that the dataset could be used for testing robot grasping and scene labeling systems as ll as for object recognition."}]