Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Despite the significant number of stereo vision algorithms proposed in literature in the last decade, most proposals are notably computationally demanding and/or memory hungry so that it is unfeasible to employ them in application scenarios requiring real-time or near real-time processing on platforms with limited resources such as embedded devices. ,  have selected the subset of proposals that appears more suited to the above requirements and, since literature lacks a proper comparison beten these methods,  propose a quantitative experimental evaluation aimed at highlighting the best performing approach under the two criteria of accuracy and efficiency. The evaluation is performed on a standard benchmark dataset as ll as on a novel dataset, acquired by means of an active technique, characterized by realistic working conditions.
['Federico Tombari', 'Stefano Mattoccia', 'Luigi Di Stefano']
I am writing a research paper on a idea Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms
[{"from": "human", "value": "I am writing a research paper on a idea Stereo for robots: Quantitative evaluation of efficient and low-memory dense stereo algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Despite the significant number of stereo vision algorithms proposed in literature in the last decade, most proposals are notably computationally demanding and/or memory hungry so that it is unfeasible to employ them in application scenarios requiring real-time or near real-time processing on platforms with limited resources such as embedded devices. ,  have selected the subset of proposals that appears more suited to the above requirements and, since literature lacks a proper comparison beten these methods,  propose a quantitative experimental evaluation aimed at highlighting the best performing approach under the two criteria of accuracy and efficiency. The evaluation is performed on a standard benchmark dataset as ll as on a novel dataset, acquired by means of an active technique, characterized by realistic working conditions."}]